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new While some hesitation and a healthy dose of skepticism around AI are probably smart, there is an application for AI far from the headlines, that has the potential to drive seismic shifts in not just how we work, but how we positively impact the community we live in and communities around the world. Already AI is being used to find solutions to complex challenges—whether that be using large volumes of weather data to help farmers in Kenya understand weather patterns and better manage their livestock, or using satellite images to stop deforestation before it begins. AI is also being used to improve health care and patient outcomes through advances in precision medicine, genetics-based solutions, and drug discovery and development.Fortune, 8h ago
new Request a free sample copy in PDF or view the report summary: https://www.expertmarketresearch.com/reports/telemedicine-market/requestsampleTelemedicine Market OverviewUnderstanding Telemedicine This encompasses a wide range of services, from virtual doctor consultations to remote patient monitoring and telepharmacy. Telemedicine eliminates the need for physical presence, making healthcare services accessible to individuals globally.Market Size and Growth The telemedicine market achieved a substantial market size of USD 73.1 billion in 2023 and is poised to continue its growth journey with a CAGR of 19.3% from 2024 to 2032, ultimately reaching a staggering USD 377.0 billion by 2032. This remarkable growth can be attributed to several key factors, which we will explore in detail.Telemedicine Market DynamicsTechnological Advancements The rapid evolution of technology is a driving force behind the telemedicine boom. High-speed internet, smartphones, wearable devices, and improved telecommunication infrastructure have all played pivotal roles in making remote healthcare services accessible. Telemedicine platforms now boast high-quality video and audio capabilities, ensuring seamless communication between patients and healthcare providers.Increased Adoption of Teleconsultation The widespread acceptance of teleconsultation has been steadily increasing. Patients have come to appreciate the convenience and accessibility of virtual appointments, particularly for non-emergency consultations. The COVID-19 pandemic further accelerated this trend, highlighting the importance of remote healthcare services.External Telemedicine Market TrendsChanging Regulatory Landscape Governments and regulatory bodies worldwide are adapting to accommodate telemedicine. They are implementing policies and regulations to ensure patient safety, data privacy, and the growth of telehealth services. Staying informed about these evolving regulations is crucial for telemedicine providers.Remote Monitoring and IoT Integration The integration of Internet of Things (IoT) devices into telemedicine has opened up new possibilities. Remote monitoring of vital signs and health parameters enables proactive healthcare management. Patients can transmit real-time data to healthcare professionals, leading to more accurate diagnoses and treatment adjustments.Explore the full report with the table of contents: https://www.expertmarketresearch.com/reports/telemedicine-marketTelemedicine Market SegmentationPatient Demographics Telemedicine serves a diverse range of patients, from tech-savvy individuals to the elderly and those residing in remote areas with limited healthcare access. Understanding these demographics is vital for tailoring services effectively.Specialty Areas Telemedicine extends beyond general consultations to various specialty areas, including telepsychiatry, teledermatology, teleoncology, and more. Each specialty has unique requirements and considerations, necessitating market segmentation.Telemedicine Market GrowthGlobal Expansion Telemedicine knows no geographical boundaries. Its reach is expanding worldwide, with healthcare providers, tech companies, and startups entering the market from different corners of the globe. This global expansion is contributing significantly to the industry's rapid growth.Improved Patient Outcomes Research indicates that telemedicine can lead to improved patient outcomes. Timely consultations, continuous monitoring, and better access to healthcare professionals contribute to early diagnosis and effective management of various medical conditions.Recent Developments in the Telemedicine MarketTelemedicine Platforms Telemedicine platforms are continually evolving to offer more features and capabilities. Many now integrate electronic health records (EHRs), prescription management, and secure patient messaging, enhancing the overall patient experience.AI and Telemedicine Artificial intelligence (AI) is making its presence felt in telemedicine. Machine learning algorithms are being employed to analyze medical data, predict patient outcomes, and enhance diagnostic accuracy. The integration of AI promises to revolutionize telemedicine further.Telemedicine Market ScopePatient Convenience Telemedicine offers unparalleled convenience to patients. They can schedule appointments at their convenience, eliminating the need for lengthy commutes and extended wait times in crowded waiting rooms.Cost Savings Telemedicine presents cost savings for both patients and healthcare providers. Patients save on travel expenses and time, while healthcare providers can optimize their resources more efficiently.Telemedicine Market AnalysisKey Players The telemedicine market boasts a diverse array of key players, including established healthcare institutions, technology firms, and startups. Prominent players include Teladoc Health, Amwell, Doctor on Demand, and numerous others. These companies offer a wide array of telehealth services and continue to innovate in the field.Patent Analysis Analyzing patents is crucial to understanding the technological innovations propelling the telemedicine market. It offers insights into the key players' areas of focus and hints at potential future developments.Grants and Funding Monitoring grants and funding within the telemedicine sector provide valuable insights into market trends and growth areas. Government support and private investment often signify confidence in the market's potential.Clinical Trials Clinical trials within the telemedicine realm are essential for validating the efficacy and safety of remote healthcare solutions. Keeping abreast of ongoing trials can provide valuable information about emerging telemedicine treatments and technologies.Partnerships and Collaborations Partnerships and collaborations among telemedicine providers, healthcare organizations, and technology companies are commonplace. These alliances often result in innovative solutions and expanded service offerings.FAQ: Addressing Common Questions1. Is telemedicine as effective as in-person visits? Telemedicine has proven highly effective for many types of consultations and follow-ups. However, certain cases necessitate physical examinations or procedures, mandating in-person visits.2. Is telemedicine secure and private? Telemedicine platforms prioritize security and privacy, employing encryption and adhering to stringent data protection regulations to safeguard patient information.3. How can I access telemedicine services? Accessing telemedicine services is straightforward. Many healthcare providers have their telemedicine platforms or collaborate with established telehealth companies. Patients can typically schedule appointments through websites or mobile apps.4. Will insurance cover telemedicine consultations? Insurance coverage for telemedicine varies by provider and policy. Many insurance companies now offer coverage for telehealth services, but it's essential to verify specific plan details.Related Report:Surgical Robots Market...openPR.com, 12h ago
new Download Free Sample of Report - https://www.globalinsightservices.com/request-sample/GIS25711/?utm_source=pranalipawar&utm_medium=Openpr&utm_campaign=04122023Security scanning equipment is typically composed of several components including scanners, detectors, and monitors. Scanners are used to detect and identify potential threats, such as malware and viruses. Detectors are used to look for signs of malicious activity, such as unauthorized access to a system or network. Monitors are used to constantly monitor for suspicious activity and alert administrators of any potential threats.Security scanning equipment is essential for any organization that wants to protect its data and systems. It helps organizations detect malicious activity and respond quickly to potential threats. It also helps to reduce the risk of data breaches and other security incidents. Security scanning equipment is an important part of any security strategy and should be implemented in order to ensure the safety and security of an organization's data and systems.Key TrendsSecurity scanning equipment is a broad term that encompasses a wide variety of devices used to detect, identify, and prevent security threats. The technology has been evolving rapidly in recent years, as organizations strive to keep up with the ever-changing security landscape. In this article, we will discuss some of the key trends in security scanning equipment technology.First, the use of biometrics is becoming increasingly popular. Biometric authentication is a process whereby a person's physical characteristics, such as a fingerprint or iris scan, are used to authenticate their identity. This technology is becoming more common in many industries, and is being used to secure areas, as well as to verify transactions.Second, the use of facial recognition technology is also growing. This technology uses facial recognition algorithms to identify individuals and can be used for a variety of security purposes. It is becoming increasingly common in public places, such as airports and stadiums, as well as in corporate environments.Third, the use of artificial intelligence (AI) is becoming more prevalent in security scanning equipment technology. AI can be used to identify and alert security personnel to potential threats before they occur. It can also be used to analyze large amounts of data quickly and accurately, allowing for better decision-making and faster response times.Finally, the use of cloud-based security scanning solutions is becoming more popular. With cloud-based security solutions, organizations can access their security systems from anywhere in the world. This allows for greater flexibility and scalability, as well as faster response times.These are just some of the key trends in security scanning equipment technology. As the security landscape continues to evolve, organizations must continue to stay ahead of the curve by using the latest technology available to them. By doing so, they can ensure that their security systems are up to date and can effectively protect their organization from any potential threats.Key DriversSecurity Scanning Equipment Market is driven by the increasing need for security and surveillance in the public and private sector. The rising number of threats to national security, as well as the need for quick and accurate detection of potential threats has created a strong demand for security scanning equipment. As a result, the market has seen a steady growth over the past few years.The first key driver of the security scanning equipment market is the government's increased focus on security. Governments around the world are investing heavily in security measures, and this includes the procurement of scanning equipment. This is especially true in developed countries, where governments have implemented stringent security measures to protect their citizens. For instance, the United States has adopted a see something, say something approach to security, which requires citizens to report any suspicious activity to law enforcement. As a result, the demand for security scanning equipment has increased significantly.Report Overview- https://www.globalinsightservices.com/reports/security-scanning-equipment-market/?utm_source=pranalipawar&utm_medium=Openpr&utm_campaign=04122023The second key driver of the security scanning equipment market is the rise of terrorist activities. Terrorists have become increasingly sophisticated in their use of technology to carry out their attacks. As a result, governments and private companies are investing heavily in the development of advanced scanning equipment to detect and prevent these attacks. This has led to a strong demand for security scanning equipment, as these devices are able to detect and identify potential threats quickly and accurately.The third key driver of the security scanning equipment market is the development of new technologies. Advances in technology have enabled the development of advanced scanning equipment, which has made it easier to detect and identify potential threats. For instance, the use of 3D imaging technology has enabled the development of devices that can detect objects hidden within walls and other structures. This has made it easier for law enforcement and private companies to detect and identify potential threats quickly and accurately.The fourth key driver of the security scanning equipment market is the increasing demand for safety and security in public spaces. With the recent increase in mass shootings and other public safety incidents, governments and private companies are investing heavily in the development of advanced scanning equipment to detect and prevent these incidents. This has led to a strong demand for security scanning equipment, as these devices are able to detect and identify potential threats quickly and accurately.Get a customized scope to match your need, ask an expert - https://www.globalinsightservices.com/request-customization/GIS25711/?utm_source=pranalipawar&utm_medium=Openpr&utm_campaign=04122023Finally, the fifth key driver of the security scanning equipment market is the increasing use of biometric technologies. Biometric technologies allow for the identification of individuals through their unique physical characteristics. This has made it easier for law enforcement and private companies to identify potential threats quickly and accurately. As a result, the demand for security scanning equipment has increased significantly.Market SegmentationThe Security Scanning Equipment Market is segmented into Detection Technology, Application, End User, and Region. On the basis of Detection Technology, the Security Scanning Equipment Market is segmented into X-ray, CT-based, Neutron Sensing and Detection, and Others Detection Technologies. Based on Application, the market is bifurcated into Mail and Parcel and Baggage Scanning. Based on End User, the market is segmented into Airports, Ports and Borders, and Defense. Region-wise, the market is segmented into North America, Europe, Asia-Pacific, and Rest of the World. Key PlayersSome of the key players of Security Scanning Equipment Market are Smiths Detection Inc. (UK), Leidos Holdings Inc. (US), OSI Systems Inc. (US), 3DX-Ray Ltd (US), Teledyne ICM SA (US), Analogic Corporation (US), Nuctech Company Limited (China), Astrophysics Inc. (US), CEIA SpA (Italy), and Gilardoni SpA (Italy). Buy Now - https://www.globalinsightservices.com/checkout/single_user/GIS25711/?utm_source=pranalipawar&utm_medium=Openpr&utm_campaign=04122023With Global Insight Services, you receive:10-year forecast to help you make strategic decisions...openPR.com, 15h ago
new For all of the bravado of AI, before we become too dazzled or dismayed (depending on which side of this issue you reside), at AI’s potential impact on projects, it is worthwhile to sit back with a skeptical bird’s eye view. After all, as we humans evolved throughout the information age of the mid to late twentieth century, AI can just be considered the latest development in a long series of technological advances driven by the engine of human information input. Even if every one of the improvements stated above are tangible, how well does it translate to the ultimate outcome? Organizations around the globe have been trying to digitalize and computerize, some as early as the 1960s and 1970s. Digitization and computerization promised a revolution in productivity through automation, streamlining, and making humans redundant. But the road to a more significant productivity boost has been arduous at best. One of the primary reasons is captured in the Theory of Constraints (TOC) developed by Eliyahu M. Goldratt, an Israeli physicist turned business management guru. In his landmark book The Goal, which sold over 6 million copies, he explains the importance of focusing on the right constraints to improve the overall system. For projects, the constraints are generally not within the technology and tools, but within humans.Healthcare Business Today, 1d ago
new When talking of brittle systems, many people remember the early symbolic AI programs that were rule-based and, hence, could not process anything outside of the scope of pre-defined knowledge. Did deep learning systems overcome that? Yes, unfamiliar inputs do not completely break them. But even the latest systems still make errors a human wouldn’t make [15-17]. We know that fine-tuned models may learn shortcuts [18-21]: undesirable spurious correlations picked up from the training data. We also know that slight variations in the phrasing of the prompt can lead to very different LLM output [22-24]: this phenomenon affected all 30 LLMs in a recent large-scale evaluation [25]. François Chollet [26] questions if deep learning systems can ever overcome this kind of brittleness: according to him, they are “unable to make sense of situations that deviate slightly from their training data or the assumptions of their creators” (p.3).Montreal AI Ethics Institute, 1d ago
new Introducing Masterpiece X, the world’s first fully generative AI text-to-3D app. Take asset creation to new heights with this advanced toolkit, enabling optimized mesh models, textures and animations like never before. Customers don’t need to be an inspired 3D artist to get started – just use a few simple words and let the technology take over from there. This cutting-edge tool not only gives professionals a new level of flexibility when creating content but also reduces project turnaround times significantly. With Masterpiece X can quickly explore options and ideas in 3D, all while achieving stunning results. Let imagination come alive through the power of technology! With its intuitive interface and powerful AI algorithms, Masterpiece X takes the hassle out of 3D asset creation. Simply input desired concept, and the app does the rest, generating a fully-rendered 3D model that is as realistic as it is awe-inspiring. From intricate architectural designs to lifelike character animations, there is virtually no limit to what can achieve with this revolutionary technology at fingertips.But Masterpiece X is not just about saving time and effort – it's about unlocking the true potential of creative vision. Whether an architect visualizing a new skyscraper, a game developer crafting immersive worlds, or a filmmaker breathing life into characters, this app is ultimate tool for pushing the boundaries of what is possible in the realm of 3D design.Join the ranks of leading professionals who have already embraced the power of Masterpiece X and witnessed its transformative capabilities. With this game-changing app, can truly stand out from the crowd and elevate work to new heights.Invest in artistic journey and let Masterpiece X be trusted companion as embark on a quest for innovation. It's time to take creations to the next level – the level where imagination becomes reality. Get ready to amaze, inspire, and leave a lasting impression with Masterpiece X.saasworthy.com, 1d ago

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new Lohrmann: "It's kind of an arms race. Now passwords are the low-hanging fruit, and they're easy. There's different ways cyber criminals can defeat passwords, on the dark web there are databases full of usernames and passwords. As more and more of the sensitive accounts like bank accounts, administration accounts move to multifactor and get more sophisticated, more and more techniques will be used to defeat them. Hackers can train generative AI to do things like copy my voice, and while voice recognition is a step up from the password, it could also be potentially defeated. So with all of these alternatives, there's no perfect solution to this problem. Security issues are not going away in the next decade. When we eliminate passwords, we will have security issues with the alternatives.techxplore.com, 1d ago
new ...a, About, absence, accurate, across, actions, activities, activity, Additionally, addressing, adherence, advancements, ADvantage, affects, against, Agencies, ahead, AI, aims, algorithms, All, also, among, an, and, anomalies, another, anti, approach, ARE, AREA, artificially, AS, asset, Assets, At, attackers, Attacks, attempts, Audits, authorities, Autonomy, avoiding, base, based, BE, because, before, behavior, benefit, blockchain, blockchain transactions, Book, bots, brief, Building, But, buy, buyers, Buying, by, CAN, Cause, changing, clear, closer, Coding, collaboration, commission, commit, Common, community, complete, compliance, compromising, Concentrated, concern, Concerning, conduct, confidence, contract, contracts, control, conversations, coordinated, could, coupled, create, Creating, Criminals, critical, crypto, Crypto Market, Crypto Markets, cryptocurrencies, cryptocurrency, cryptocurrency market, cryptocurrency markets, cryptocurrency space, cryptographic, CryptoInfonet, 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important, Improved, improvements, in, inaccurate, include, includes, increased, increases, Increasing, indicate, inflates, inflating, inform, information, initiatives, Insider, insider trading, integrity, into, investing, investor, Investors, involving, Is, issues, IT, ITS, Jurisdiction, jurisdictions, keeping, kinds, knowledge, lack, large, Last, later, Law, Laws, Least, Legal, Legality, legitimate, less, lessened, like, Limits, LINK, Liquidity, liquidity pool, liquidity pools, listing, Listings, losses, low, lowering, Lowers, maintain, maintaining, major, make, Making, malicious, management, manages, manipulated, manipulating, manipulation, many, Market, market manipulation, Markets, May, measures, mechanisms, Media, methods, misleading, mitigate, money, Monitor, monitoring, moral, more, More secure, Moreover, multifaceted, must, Nature, necessary, network, Nevertheless, news, Nothing, occasionally, occurs, of, offer, often, on, ONE, ongoing, online, opaque, open, or, order, Order book, orders, organizations, original, Other, participants, particularly, pending, People, perceived, Period, persistent, place, Placing, platform, Platforms, plato, Plato Data Intelligence, PlatoData, players, point, pool, Pools, possibility, practice, precise, preserving, prevalent, prevent, price, price discovery, price increases, prices, problems, procedures, Produced, Profit, Profitable, prohibited, projects, promote, properly, protect, Protecting, provide, Pump, put, putting, quickly, raising, Reading, real, real-time, Reduced, refers, Regulation, regulations, Regulators, regulatory, RELATED, release, reliable, REPEATEDLY, Reporting, reputation, requires, resembling, restrictions, result, resulting, reveal, revealing, Risk, risk management, risks, robust, rules, running, s, safeguard, safeguarded, safeguards, scams, Schemes, SEC, secret, Sector, Secure, securely, Securities, Securities and Exchange Commission, security, Security audits, SELF, sell, Selling, selling assets, sense, several, Signs, similarly, simulate, single, smaller, smart, smart contract, Smart Contracts, So, Social, social media, source, Space, specific, sphere, spike, Spot, Stability, stable, stakeholder, States, still, Stop, Strategies, strengthen, strict, stringent, strong, Subsequently, Such, sudden, Sums, supply, Supply and demand, surrounding, surveillance, Susceptibility, suspicious, Systems, T, tactics, Take, take advantage, taken, technique, techniques, Technological, that, The, the Law, their, Them, then, Therefore, These, they, this, Thorough, Though, throughout, time, to, together, token, Tokens, tools, trade, Traders, trades, Trading, TRADING ECOSYSTEM, trading volumes, traditional, transaction, Transactions, Transparency, transparent, Trends, Trust, trustworthy, Uncertainty, underway, United, United States, until, unusual, use, Used, User, users, using, varies, Verification, violate, visibility, volume, volumes, Vulnerabilities, Vulnerable, wash, wash trading, weaknesses, WELL, Whale, whales, What, What is, When, where, Which?, WHO, with, within, Work, work together, worldwide, zephyrnet...Zephyrnet, 1d ago
new There’s been a lot of talk about AGI lately—artificial general intelligence—the much-coveted AI development goal that every company in Silicon Valley is currently racing to achieve. AGI refers to a hypothetical point in the future when AI algorithms will be able to do most of the jobs that humans currently do. According to this theory of events, the emergence of AGI will bring about fundamental changes in society—ushering in a “post-work” world, wherein humans can sit around enjoying themselves while robots do most of the heavy lifting. If you believe the headlines, OpenAI’s recent palace intrigue may have been partially inspired by a breakthrough in AGI—the so-called “Q” program—which sources close to the startup claim was responsible for the power struggle.Gizmodo, 2d ago

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With AI systems becoming increasingly complex, it is essential to have transparency in place. Without understanding how an AI system reaches its conclusions, it becomes difficult for humans to trust and validate its decisions. This lack of trust can lead to skepticism and resistance towards the use of AI, even when it can potentially bring significant benefits.WriteUpCafe.com, 27d ago
When visiting a GP or attending hospital patients want to be treated safely and effectively, but also importantly, to feel heard. Many express a loss of human agency at the idea that technology and AI may be over-involved in their care, vulnerable to the possibility of a non-human and possibly inhumane process deciding what happens next. This imposition of technology can feel unfair and devoid of empathy for our preferences.5 Despite the fact that many algorithms may be less prone to error than any single human adjudicator, when unchecked there is a—justified or otherwise— suspicion that machines will be unfair to us, opaque, and incompatible with our values.The BMJ, 13d ago
Safety: AI systems should not, under defined conditions, lead to a situation that endangers human life, health, property or the environment. GenAI tools can represent notable risks to public health and safety, whether from malicious intent or just lack of quality control. Their scaling capabilities have the potential to be used to spread misinformation and disinformation; and in sensitive domains like health care and public safety, GenAI should be evaluated to determine whether it’s necessary and beneficial, and given careful governance to mitigate risk.GovTech, 5d ago
The impact of artificial intelligence (AI) on people and talent acquisition (TA) is substantial. It can revolutionize how organizations recruit, manage, and develop their teams. Yet, like any transformative technology, it's crucial to ensure its design and use uphold the principles of fairness, transparency, and privacy. Failure to adhere to these principles can lead to legal penalties and damage to brand reputation. Most importantly, it can adversely affect the very people we aim to uplift with these innovations and rapidly accelerate the unfair practices we’ve worked so hard to amend. For HR and TA leaders, this presents an important responsibility — and opportunity: to guide the ethical implementation of AI within our organizations. Ignorance is not bliss; a lack of understanding about AI's ethical dimensions poses a risk that could compromise our ability to make informed and ethical decisions. Therefore, staying informed about ethical AI is not just a matter of staying current; it's a strategic imperative in the rapidly evolving landscape. In this exclusive virtual event, you will learn about such topics as:...hr.com, 12d ago
Rolling out demand-side flexibility technologies can make the grid more resilient and create substantial economic benefits for societies and households. Managing our energy more effectively and lowering demand in peak periods can reduce the risk of potential outages by lowering the strain on the grid. Consumers will see savings on their utility bills, as the cost of electricity is lower during non-peak periods. Kim Fausing, President and CEO, Danfoss says: "We are leaving the fossil fuel era, but we haven't prepared our energy system for the future because we are neglecting energy efficiency as one of the main tools to lower emissions. The grid is not ready to use all the renewable energy we are making rapid progress to produce. We must take steps to utilize energy efficiency solutions - such as demand-side flexibility technologies - that not only help us to use less energy, but to use the right energy at the right time. We have the solutions, but we need action." Demand-side flexibility refers to the levelling out of energy consumption to prevent periods of simultaneous high demand and low supply, which is especially important for an energy system based on renewables. The deployment of demand-side flexibility technologies can lower demand during expensive peak hours and reduce the amount of fossil fuels in the energy mix. In buildings, for example, AI-driven technologies can save up to 20 percent in a building's energy costs by combining building, weather, and user data to predict heating and ventilation demand.[i] Observations on 100,000 flats equipped with this technology, based mainly in Finland, show that the maximum power usage was reduced by 10-30 percent.[ii] Meanwhile, load-shifting can also be automated to cool supermarket freezers down to a much lower temperature than required outside the peak demand hours with the freezers effectively operating like a battery storing energy. This ‘supercooling' technique means refrigerators can be switched off during the peak hours of energy demand, both lowering stress on the grid and saving money for the supermarket. Renewables need to make up 70 percent of the energy mix by 2050 if the goals of the Paris Agreement are to be reached. However, the energy system is not yet prepared to manage the natural peaks and troughs of renewable energy supply. The new whitepaper from Danfoss, "Energy Efficiency 2.0: Engineering the Future Energy System", presents the most cost-efficient way to prepare for the future energy system. It focuses on the deployment of a full-scale electrification of society, demand-side flexibility measures, wise use of hydrogen and storage and maximizing the use of excess heat. Key whitepaper takeaways: • By transitioning from a fossil energy system to a fully electrified one, it is possible to cut up to 40% of final energy consumption. Electrification is itself a form of energy efficiency. • Through demand-side flexibility, the EU and UK can annually save 40 million tons of CO2 emissions and achieve annual societal cost savings of €10.5 billion by 2030. Similarly, households can save on average 7% on their electricity bills. In 2050, households are estimated to save 10% on electricity bills and €15.5 billion annual societal costs. • In the US, optimizing efficiency, demand flexibility, and electrification in buildings can save up to $107 billion in annual power system cost savings alongside a 91% reduction in carbon emissions from buildings by 2050. • In 2030, up to 53% of the global energy input will be wasted as excess heat. However, much of this heat can be captured and reused to heat buildings and water through deeper sector integration. • On a global scale it is theoretically possible by 2050 to recover 1.228 TWh of excess heat from hydrogen produced through electrolysis - this is equivalent to almost two thirds of today's global heat generation from coal, the largest source of heat. Kim Fausing adds: "Electrification, demand-side flexibility, conversion, storage, and sector integration must take center stage in a future energy system enabling an energy grid powered by renewables. Seeing is believing, and, often, decision makers simply don't know that we already have the solutions we need to not only reduce carbon emissions, but also to deliver substantial economic savings both at a societal and customer level. It's about time for decision makers at all levels to prioritize energy efficiency and set the right regulatory and economic framework to reach net zero by 2050." Professor Nick Eyre, Professor of Energy and Climate Policy at University of Oxford & Senior Research Fellow in Energy at the Environmental Change Institute, says: "We need to rethink energy efficiency and place it at the center of the race towards full decarbonization. This means enabling the electrification of end-uses not previously served by electricity. It also means creating a highly flexible energy system to avoid carbon-intensive demand peaks. Historically, energy efficiency has delivered the largest share of greenhouse gas mitigation and reinventing it for the era of renewables will enable us to continue this trend and achieve net zero by 2050." Toby Morgan, Senior Manager, Built Environment at Climate Group, says: "As we electrify everything we can and build a flexible grid fit for the future, we cannot forget energy efficiency. The greenest form of energy is saving energy, and efficiency means we need fewer wind farms and fewer battery facilities. AI can help turbocharge progress on energy efficiency, optimizing electricity usage for any given time of day. Yet AI's role in connecting up climate-smart technologies in one integrated, energy efficient building is where it gets really exciting. AI can optimize the use of rooftop solar when it's sunny, make decisions on when to draw on the building's battery storage, or the batteries of EVs plugged into its charging points when it's not, plus choose an optimum time to sell renewable electricity back to the grid when demand is high." Download the full whitepaper: "Energy Efficiency 2.0: Engineering the Future Energy System" https://bit.ly/3SwgQsa...altenergymag.com, 26d ago
Mike has always had a knack for working with complex machines and systems. He grew up on a farm where he’d take apart equipment and put it back together. “Understanding how things worked seemed important somehow,” he tells me. Throughout his professional career, it’s been more important than ever.At Microsoft, he worked on a breadth of projects, including leadership roles for their Flight Simulator, Streetside imagery operations and the Bing Maps Data Platform. “I spent about 15 years working on maps and geospatial problems in one way or another. I discovered I really enjoyed the challenge of making maps,” he saysThe map leads to TomTom“I decided if I want to make maps, I needed to join the world’s best mapmaking company,” he says. Mike is now the Director of Product Management for three separate yet connected areas of TomTom Maps, all contributing to TomTom mapping the world in real time.It’s going well so far. Mike says, “What’s impressed me has been TomTom’ers’ willingness to adopt new approaches and throw their effort behind a single vision of building the real-time map. We’ve demonstrated we can take on and accomplish big, ambitious goals by getting TomTom Orbis Maps to General Availability status. It’s exciting to think about the next set of big challenges we will take on.”The future of product managementWithin his role, Mike has his own exciting vision. “In the future, product managers will need to be more adept at dealing with data, metrics and generating insights to answer those questions. AI will play a greater role in this,” he says. “PMs will need to become proficient at shaping the AI’s responses, something called ‘prompt engineering,’ to ensure effective, unbiased results. This is particularly exciting because of how it will enable PMs to harness the breadth and depth of knowledge on the web via powerful large language models in ways not possible before in human history.”Being a mapmaker allows Mike to combine complex problems and innovative tech with real-world solutions that make an impact. As he says:...TomTom, 12d ago

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new The contract, which is being voted on and needs a majority of “yes” votes to come into force, was considered a victory by many and received with suspicion by others. In the initial vote, 14% of the members of the union's national board voted “no”, and that is what Portuguese actress Kika Magalhães intends to do as well. “The reason is that they don't protect actors in relation to digital replicas”, she told Lusa the actress, based in Los Angeles since 2016. “They say yes, that there is protection, but then we look between the lines and there is nothing.” Kika Magalhães, whose latest film, “The Girl in the Backseat”, has just been released reaching Amazon Prime Video and the streaming platform Tubi, points to how digital replicas can be disastrous. “An actor goes for a casting and the producers ask if he will accept their digital replica. If the actor says no, they may not give him the role,” she explains. Top-notch actors will be able to negotiate and say no without losing the role. “But small actors like us don't bring as much money to the union and they don't protect us as much”, considered Kika Magalhães. The actress doubts the solution put forward by one of the clauses, according to which if a studio uses digital replicas of an actor this You will be paid corresponding to the hours you would be filming. “This is very relative, because a scene can take a month to film. They can say it took a day to make.” Actress Justine Bateman also criticized loopholes that allow studios to use digital replicas without actors' consent when certain conditions are met. The results of the votes will be known on December 5th. If there are 50%+1 “yes” votes, this contract will come into force for the next three years. “I have heard many actors saying that they will vote no”, said Kika Magalhães. Her husband, actor Chris Marrone, said that “if the majority fully understands what they are signing, then they vote no.” Marrone considered that the SAG contract “doesn’t seem like a big victory after all” and that there should be specific language to define the actors as human beings. This is something that actress Katja Herbers also defends, in opposition to “synthetic actors”. However, the expectation is that the “yes” will win, because the industry has been at a standstill for too long and there is widespread fatigue. This is what Mário anticipates Carvalhal, who belongs to the Animation Guild, stressing that the stoppage was long and the “no” appears to be a minority. “There is a possibility that some people will vote no, but I believe that these new measures will pass and be approved,” he told Lusa. “I think it is a minority that is very right in what they are demanding, but it was practically a whole year of work stopped in this city and I think everyone is ready to move forward”. Mário Carvalhal considers that the big risk of AI will be the reduction in quality and a change in the way the environment works. “Actors have more to claim, especially when it comes to those who do voices. There have already been cases where AI can do the job,” he said. “It's an inferior job, but for many companies it's enough and doesn't cost them anything.” Carvalhal considers that actors “must maintain their rights to image, voice and everything else, their likeness.” The Portuguese also stressed that, although the strikes did not achieve all their objectives, they allowed “important steps in the right direction” to be taken and this is an aspect of which the strikers are proud. “As much as possible, I think the workers won this fight”, he considered. For screenwriter Filipe Coutinho, member of the Portuguese Cinema Academy, the unions were justified in their fight, which took longer than expected. “I'm quite satisfied for the way both the WGA and SAG acted over these six months”, he told Lusa. “It’s an unbelievable time to have an entire industry at a standstill,” he stressed. “California is one of the largest economies in the world and it is incomprehensible that it took so long for the studios to offer a fair contract to writers and actors.” Filipe Coutinho also said that, even with the agreements, “everything is a little upside down. the air”, with studios and production companies “trying to understand what the next phase will be”. The Portuguese mentioned changes in the business model, with 'blockbusters' expected to fail at the box office, cancellation of films and the dilemma of 'streaming '.“No one really knows what to invest in and under what conditions to invest, and now contracts also change the approach to content production.” Afonso Salcedo, lighting artist, who worked on the new Disney film “Wish – The Power of Desires”, considers that the strikes were difficult but important, at a time when it is not yet clear to what extent AI will affect the industry. “The agreements will last three years so I think it is a good step to see what it is like that the technologies will work in the coming years”, he indicated, noting that the animation segment will have to renegotiate the contract in 2024. “It will be interesting to see what will happen, if we are going to negotiate protections against Artificial Intelligence”, stated Afonso Salcedo. “Maybe, next year, we will get into these fights with the studios again.” The vote on the agreement reached between the SAG-Aftra union and the studios runs until December 5th. The results will be tabulated and published on the same day.adherents, 2d ago
new What does this all have to do with OpenAI’s supposed “math” breakthrough? One could speculate that the program that managed (allegedly) to do simple math operations may have arrived at that ability via some form of Q-related RL. All of this said, many experts are somewhat skeptical as to whether AI programs can actually do math problems yet. Others seem to think that, even if an AI could accomplish such goals, it wouldn’t necessarily translate to broader AGI breakthroughs. The MIT Technology review reported:...Gizmodo, 2d ago
new INFRASTRUCTURE opportunities centered on increasing access to composting/food scrap hauling services. Increasing the number of free drop off locations located at farmers markets, gardens, churches, public parks, and schools was mentioned numerous times possibly indicating a belief that this might be the easiest or quickest approach to the adoption of composting if “ drop-off sites [were] in every neighborhood .” More gardens could also host on-site community composting if they had money available to pay stewards. Increasing municipal collection ( "Bins for All!") and community composting efforts and expanding options for home composting and for renters were all mentioned as options to increase access as was the development of a compost (service) directory. Regardless of how access to composting services was increased it should be affordable as “[you] shouldn't have to pay to do right thing.” Opportunities to utilize more appropriate technology abound including using AI for sorting to reduce contamination, developing rat-proof bins (for collection and home composting), using biodigesters, and perhaps creating a new type of facility to handle (plastic-based) ‘compostable’ (biodegradable) serve-ware. To support the development of infrastructure opportunities incentives such as "raising landfill tipping fees [or creating a] methane tax on private LF owners" and funding such as the "potential to pursue Federal funding to pilot creative programs" are critical. Increasing collaboration and coordination is also an opportunity to develop infrastructure with at least one participant wondering, “ Where is regional planning org? (e.g. CMAP)” and now is the time to increase collaboration because "passion exists among food producers in the region who need soil!!" Rather than looking to individual households for new sources of materials to make compost, restaurants, breweries, and landscapers and other large food waste generators could be better engaged and plugged in to composting perhaps driving or at least raising awareness of the issue for individual households. Attendees also mentioned as opportunities new places to process and acquire compost or new ways to handle food waste that included empty warehouses and factories, vacant lots, big box stores offering pickup of compost and drop off of scraps and sending food waste from large institutions to hog farms 4 . A list of comments on Opportunities in Infrastructure are displayed in Table 8, Appendix 1. POLICY opportunities included creating mandates for large generators (such as grocery stores, food processors, schools and universities) to compost and for public projects (roads, landscaping, buildings) to use finished compost. These two policy changes have the power to directly increase demand and may work to create a consistent end market for finished compost. There may exist a scalar mismatch in the region for compost— demand by individual consumers may be too small to justify the amount of effort it takes to create the compost so there needs to be "more emphasis on getting more finished compost to market." Other opportunities to increase demand for the finished product and access to services include passing Right to Compost legislation “so that building managers and landlords don't stand in the way" of their residents using compost pick up services; instituting bans and creating incentives and/or disincentives such as increasing landfill tipping fees ; and incentivizing compost usage by farmers and public works. Creating consistent, stable, and expanded end markets for finished compost and the support for processing infrastructure is extremely important when implementing policies that would increase the amount of feedstock available to create compost. Policy opportunities that did not require a large lift included creating new or expanding existing programs as "many municipalities already accept leaves & lawn clippings. Expanding to collecting food waste scraps is low- hanging fruit" and ensuring that funding is sufficient especially for creating technical assistance positions to support compost collection and processing. Also identified as an opportunity is to increase regional coordination...extension.org, 2d ago
new The AI Optimists don't make this argument AFAICT, but I think optimism about effectively utilizing "human level" models should transfer to a considerable amount of optimism about smarter than human models due to the potential for using these "human level" systems to develop considerably better safety technology (e.g. alignment research). AIs might have structural advantages (speed, cost, and standardization) which make it possible heavily accelerate R&D[1] even at around qualitatively "human level" capabilities. (That said, my overall view is that even if we had the exact human capability profile while also having ML structural advantages these systems would themselves pose substantial (e.g. 15%) catastrophic misalignment x-risk on the "default" trajectory because we'll want to run extremely large numbers of these systems at high speeds.)...alignmentforum.org, 2d ago
new Smith cited an example of one organization that faced criticism this year for using an AI-generated image on a public-facing billboard ad without declaring it. “What message does that send? Does that cause people to distrust the organization?” he says. “There’s a whole raft of ethical issues surrounding when it’s appropriate to use [AI]. It’s that classic ethical situation of just because I can use it, doesn’t mean I should.”...Cision, 2d ago
new Ralph Ranalli (Intro): Welcome to the Harvard Kennedy School PolicyCast. I’m your host, Ralph Ranalli. When ChatGPT and other generative AI tools were released to the public late last year, it was as if someone had opened the floodgates on a thousand urgent questions that just weeks before had mostly preoccupied academics, futurists, and science fiction writers. Now those questions are being asked by many of us—teachers, students, parents, politicians, bureaucrats, citizens, businesspeople, and workers. What can it do for us? What will it do to us? Will it take our jobs? How do we use it in a way that’s both ethical and legal? And will it help or hurt our already-distressed democracy? Thankfully, my guest today, Kennedy School Lecturer in Public Policy Bruce Schneier has already been thinking a lot about those questions, particularly the last one. Schneier, a public interest technologist, cryptographer, and internationally-known internet security specialist whose newsletter and blog are read by a quarter million people, says that AI’s inexorable march into our lives and into our politics is likely to start with small changes like AI’s helping write policy and legislation. The future, however, could hold possibilities that we have a hard time wrapping our current minds around—like AIs creating political parties or autonomously fundraising and generating profits to back political parties or causes. Overall, like a lot of other things, it’s likely to be a mixed bag of the good and the bad. The important thing, he says, is to using regulation and other tools to make sure that AIs are working for us—and even paying us for the privilege and not just for Big Tech companies—a hard lesson we’ve already learned through our experience with social media. He joins me today.harvard.edu, 2d ago

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It’s equally crucial to have deep subject matter knowledge when inputting data into AI systems. Lacking this, the data becomes less valuable and pertinent. The absence of appropriate domain expertise increases the likelihood of biases in AI decision-making. Feeding biased data to an AI without proper oversight can lead to unreliable results. Hence, domain knowledge is indispensable.ERP News, 21d ago
The prospect that AI might not only match but potentially surpass human capabilities in both creativity and curation is a provocative and transformative idea. When we consider the realms of creativity and curation, we typically attribute superior prowess to the human mind with its intrinsic understanding of emotional depth, cultural nuances, and historical context. However, AI's rapid advancement paints a different picture. With its ability to process and analyze vast datasets far beyond human capacity, AI can uncover patterns, inspirations, and connections that might escape even the most learned human curator or the most creative artist. In terms of creativity, AI can synthesize and recombine elements from a vast array of styles, periods, and mediums, potentially leading to groundbreaking new forms of art that challenge our conventional understanding of creativity. In curation, AI's objectivity and expansive analysis could offer a more democratized and inclusive approach, unshackling art from the subjective preferences and potential biases of human gatekeepers.Psychology Today, 22d ago
Following aesthetics, HyperTone Camera Systems will usher in a new era in computational photography. The systems will initially arrive in future Find series flagships, providing users with an unprecedented mobile imaging experience beyond imagination. OPPO Imaging Director Oliver Zhang said: "Thanks to the HyperTone Camera System which follows aesthetics, the Find X6 Series is positively received by both the public and professionals. With Find N3 Series, we also brought flagship-level imaging experience for foldables for the first time. I am delighted that our collaboration with Hasselblad has now entered a new phase. By combining classic imaging aesthetics with mobile technology, OPPO and Hasselblad have developed an aesthetic system that is tailored for mobile imaging. In 2024, the two companies will launch the next generation HyperTone Camera Systems and Hasselblad camera experience that promise to continue to set new industry standards." Bronius Rudnickas, Hasselblad Global Marketing Manager, said: "We are very pleased to see OPPO's latest advancements in mobile imaging, which allow people to use their smartphone to bring their creativity to life through photography. Our continued collaboration to build the next-generation HyperTone Camera Systems is a huge project, that is not just a simple inheritance of style. Instead, it is a more organic and in-depth integration of the aesthetics and technology between both brands that will provide photography enthusiasts with enhanced image quality and stylized experiences, beyond what's achievable on typical mobile phones. I am looking forward to sharing the results of our collaboration with all the creators next year." Following aesthetics, OPPO is leading a revolution in mobile imaging As a pioneer in mobile imaging, OPPO is leading a revolution by following aesthetics rather than relying on industry traditions of certain technical specifications. This new approach allows the objective technical process to serve the subjective aesthetic of users. The Photography Aesthetics Feature Quantification Lab is made up of 10% photography technicians, 50% professional photographers, and 40% color experts. Through feature breakdown, solutions planning, and precise tuning, OPPO has created a new photography technology development system, ushering in a new era in computational photography. HyperTone Camera System OPPO's HyperTone Camera System consists of HyperTone All Main Camera System, HyperTone Image Engine, and HyperTone ProXDR Display, to deliver end-to-end system-level imaging capabilities. In addition to Find series flagships, the technical architecture of HyperTone Camera System will empower multiple OPPO product series in the future, for flagship imaging experience with consistent aesthetics and exceptional quality. To meet users' mobile imaging needs, HyperTone Camera System offers the first-ever All Main Camera System in the industry. It enables high image qualities for every focal length whether it's day or night. In the Find N3, OPPO brings the stack pixel technology sensor to foldable phones for the first time, achieving performance similar to a one-inch sensor that can be fitted into a foldable. Following aesthetics, HyperTone Image Engine solves many issues in traditional computational photography, achieving fewer digital artifacts with more computation. Extra HD Algorithm, for example, improves clarity by 30% while reducing noise by 60% by using AI RAW fusion. The new algorithm requires 400% more computing power, but it results in cleaner and clearer details after processing. Photo viewing is an indispensable part of a great imaging experience. HyperTone Camera System comes with the industry-leading HyperTone ProXDR Display. By precisely recording the brightness of 12 million pixels, ProXDR technology can unlock up to eight times more dynamic range on-screen, restoring the natural tone to make viewing photos much more realistic. Additionally, OPPO is also working to make ProXDR compatible with the Ultra HDR standard. Hasselblad Portrait Mode Portrait is not only one of the most popular camera features, but it also represents the most cutting-edge innovation of computational photography. Following aesthetics, Hasselblad Portrait Mode provides portrait photography effects that lead the industry. Through the HyperTone Engine, Hasselblad Portrait Mode initiates delicate tonal changes to create a three-dimensional portrait that avoids brightening the face too much and smoothing out light and shadow. By optimizing with 45 times more skin tone colors, Hasselblad Portrait Mode offers more accurate skin tones. And with Bokeh Flare Portrait, users can get a cinematic bokeh effect that truly simulates the optical out-of-focus effect. Work shot using OPPO phones at Paris Photo In 2023, OPPO launched the imagine IF Project to break through the existing limitations of mobile imaging with global users. As a key part of the project, the OPPO imagine IF Photography Awards 2023 has received over 700,000 submissions from 51 countries and regions. The 26th Paris Photo event will be held in Paris, France between November 9-14, 2023. As the only smartphone brand participating in Paris Photo this year, OPPO presented a series of exceptional images, including the works of world-class photographers and the winning works from the OPPO imagine IF Photography Awards 2023. OPPO's presence at Paris Photo serves as a bridge for fostering cross-cultural communication, revealing new possibilities of mobile imaging to photographers, collectors and artists worldwide. Norwegian photography artist and Hasselblad Master, Tina Signesdottir Hult, acclaimed photography artist and Hasselblad master, Wang Jianjun, renowned fashion photographer and Hasselblad Ambassador, Yin Chao, OPPO imagine IF Photography Awards 2023 winner, Ahei Huan, as well as many other photographers, will attend the festival to witness the first presentation of their work shot using OPPO phones at Paris Photo. Hashtag: #OPPO...SME Business Daily Media, 25d ago

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new One notable side effect of the advances of generative AI is the evolution of fraud in the form of deepfakes. These will pose a growing threat to biometric processes, such as those used in identity verification. This includes both presentation and injection attacks. According to market experts, presentation attacks using deepfakes are roughly 10 to 100 times more common than injection attacks. In 2024, it will become ever more important for banks and financial service providers to rely on remote identity verification processes that validate the user’s face biometrics and perform liveness checks to detect and prevent presentation attacks and tackle the rising number of fraud attempts. Learning more about the user’s device and where it comes from, securing the communication between camera and application, and the usage of NFC (near field communication) technology will all start to play bigger roles in the fight against fraud.Financial IT, 2d ago
new Exhibit A is Amara’s law, named for scientist, researcher and former President of the Institute for the Future Roy Amara. He is best known for saying, “We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run.” Boy howdy, does that ever apply to digital technologies in general and artificial intelligence specifically. AI may change the world — curing cancer, reversing climate change or taking all our jobs while creating a bunch more new ones — but mostly in the outbound years and decades. In the near term, it creates shadows for us to worry about, plan around and get distracted by even as we experiment and put it to work.In many respects, GenAI represents a victory lap for Moore’s law, based on Intel co-founder Gordon Moore’s formulation about the exponential growth of computational prowess. Originally coined in 1965 around the doubling of transistors on microchips every couple of years, it bumped up against the physical limits of silicon-based technologies. As AI models grow massively in size, from millions to billions and even trillions of parameters, the underlying hardware continues to keep pace even as margins narrow. Chip maker Nvidia, with its combination of advanced graphics processing units (GPUs) and tensor processing units (TPUs) that are optimized for AI tasks, reaches beyond transistor density in pushing the upward limits in the exponential increase in computational power.Not far behind, but perhaps in a supporting role, is Metcalfe’s law. Named for Ethernet inventor Robert Metcalfe, it suggests that the value of a network is proportional to the square of the number of its users. When the campaign for digital government was young, broadband penetration reached 51 percent — giving advocates the opportunity to claim that government could then serve a “digital majority.” As of last year, that number has reached 90 percent. The stakes are high for the remaining 10 percent, often characterized as underserved communities including low-income and racialized populations along with people who have chosen not to engage in a connected world. By extension of Metcalfe’s law, more user interactions contribute to AI’s knowledge, which relies on iterative feedback for fine-tuning and improvement. The absence of marginalized voices is deafening to generative models. They cannot be trained with what isn’t there, increasing the risk of unconscious bias and the skewing of results.GovTech, 2d ago
new KAREN HAO: Regulatory capture is a huge issue and it is definitely a big concern of mine in that and and one of, one of the reasons why we would naturally see regulatory capture in this moment, regardless of whether it's OpenAI at the helm, is that there is a particular narrative that in order to understand and shepherd AI development, you have to be an AI expert. And I think that that narrative is completely wrong because if AI affects you, you have a say, and actually stories about people who are impacted in unexpected ways by these technologies is, as a reporter, that is one of the most enlightening types of stories for me in understanding how a technology should be developed, is seeing how it falls apart and and seeing when sort of- things that were unanticipated end up happening in the real world. And in OpenAI's case in particular, they have also kind of tried to solidify this narrative of expertise by also saying, "Well we're the only ones that see our models," without necessarily acknowledging that it's in part because they won't let anyone else see them. And because regulators, because it is important for regulators to engage with the developers of these technologies, sort of by default, they just seek out OpenAI's opinions on what they should do or Google's opinions on what they should do; Meta's opinions on what they should do. And that's when regulatory capture happens is there's already a baseline belief that only people with expertise should participate. And then on top of that, companies are like trying to entrench this and fuel this narrative and then policymakers buy into the narrative. And that's how you end up with like Sam Altman on this global tour seeing all the heads of state and the heads of state not necessarily creating the same kind of grand welcome for other stakeholders within this AI debate. You're right also that there are concerns around how effective that regulation can be. I do think what I'm talking about with like having more people speak up about how AI affects them and their concerns about the technology is one antidote to ineffective regulation because the more that policymakers can understand the literal real-world examples of the technology interfacing with people, the more that they can design regulation that is effective. But the other thing is I think we focus a lot on kind of federal-level regulation and we focus a lot on in our government, international regulation, but there's a lot that happens at the local level as well, like school boards. Schools are thinking about how to incorporate AI in into the classroom right now. And as a parent, as a teacher, like you should have a say in that you are the one, if you're a teacher, you're the one that's using this technology and you're the one that knows your students. So you will be the most informed in that kind of environment to say whether or not you think this technology is going to help in kind of the general mission to educate your kids. It's also like police departments are acquiring AI technologies and people within cities should have a say as to having more transparency around the acquisition of these, these technologies and whether or not that should be acquired at all. And I think in these local contexts, sometimes these contexts, actually regulation is more effective because it is more localized, it is more bespoke to that context, and it also moves faster. So I think that is sort of an important dimension to add is when I say "Speak up and voice your opinions," it's not just to the federal agencies, it's not just to the Congress people actually, just like within your city, within your town, within your school, within your workplace, these are all avenues in which you can kind of speak up and help shepherd the development, adoption and application of the technology.Big Think, 2d ago
new California’s report also usefully lays out the potential risks associated with using these new tools, making clear that while there are some new potential harms, in many cases many of the risks are common to the use of any technology. Governments need to be conscious of the fact that tools that enable the easy generation of high-quality content could be misused to dupe consumers and residents.Perhaps because 35 of the 50 leading AI businesses are in California, as the state's report points out at the outset, it is silent on the risks to governments and those they serve of relying excessively on technologies developed and governed by unaccountable companies, especially when those technologies are procured by public servants without a deep knowledge of the tech.GovTech, 2d ago
new The AI floodgates opened in 2023, but the next year may bring a slowdown. AI development is likely to meet technical limitations and encounter infrastructural hurdles such as chip manufacturing and server capacity. Simultaneously, AI regulation is likely to be on the way.This slowdown should give space for norms in human behavior to form, both in terms of etiquette, as in when and where using ChatGPT is socially acceptable, and effectiveness, like when and where ChatGPT is most useful.ChatGPT and other generative AI systems will settle into people’s workflows, allowing workers to accomplish some tasks faster and with fewer errors. In the same way that people learned “to google” for information, humans will need to learn new practices for working with generative AI tools.But the outlook for 2024 isn’t completely rosy. It is shaping up to be a historic year for elections around the world, and AI-generated content will almost certainly be used to influence public opinion and stoke division. Meta may have banned the use of generative AI in political advertising, but this isn’t likely to stop ChatGPT and similar tools from being used to create and spread false or misleading content.Political misinformation spread across social media in 2016 as well as in 2020, and it is virtually certain that generative AI will be used to continue those efforts in 2024. Even outside social media, conversations with ChatGPT and similar products can be sources of misinformation on their own.As a result, another lesson that everyone – users of ChatGPT or not – will have to learn in the blockbuster technology’s second year is to be vigilant when it comes to digital media of all kinds.Tim Gorichanaz, Assistant Teaching Professor of Information Science, Drexel UniversityThis article is republished from The Conversation under a Creative Commons license. Read the original article.GovTech, 2d ago
new He pointed to the real-world example of this disparity in the digital equity space. While Denver’s digital equity needs are primarily centered around affordability of Internet service, other parts of the state face affordability and connectivity issues.Because of the collaborative relationships he built at the local level, Edinger feels well positioned to work with municipalities to advance technology use in different areas — including expanding connectivity and developing AI policy.Another major area he plans to focus on is accessibility. The state’s work in this space so far has included the launch of the Aira tool for Coloradans with low vision and a pilot program to help state workers better serve individuals with disabilities using VR, but there is more work to be done. Accessibility across state government is a critical piece to ensuring all constituents are served equitably, he said.And although Edinger expects emerging technologies to continue to impact government, he also underlined the importance of effective enterprise management systems. The technology working behind the scenes is an important foundation for any future innovation, he said.At the heart of Edinger’s vision for OIT is the people — employees and constituents alike. Empowering employees through things like process improvements, Lean, and other technology-enabled advances is the best way to make state government better, he said.“I will just say I am confident that investing in people and unlocking their potential is the way we will get there,” he said.The brief period of overlap between Edinger and Neal-Graves has helped enable a smooth transition for OIT to prepare the agency for future work under Edinger’s leadership. As Neal-Graves recently told Government Technology, the future for OIT is bright. He expects the state to continue advancing in digital government and digital equity.GovTech, 2d ago

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Finding patterns of any sort, in everything from crime to waste, fraud to abuse, occurs infrequently and often involves legions of inspectors. Regulators take months to painstakingly look through compliance forms, unable to process a request based on its own distinctive characteristics. Field workers equipped with AI could quickly access the information they need to make a judgment about the cause of a problem or offer a solution to help residents seeking assistance. These new technologies allow workers to quickly review massive amounts of data that are already in city government and find patterns, make predictions, and identify norms in response to well framed inquiries.Fast Company, 17d ago
...“As a business we use AI across many aspects to optimise our output and improve efficiencies. In fact, we’ve found the use of AI highly effective in training sales staff and assisting with customer outreach. Despite this, we’re aware of the risks of over-reliance on AI. For starters, there is significant ambiguity surrounding the ethical use of AI, particularly in the creative fields such as content and image production. We have our own in-house creative team, including two photographers, which means we mostly use AI to improve business processes and save time on rudimentary tasks. Despite this, for many small businesses, with limited budgets and staff, it can be tempting to heavily rely on AI to fill business gaps. However, there are many issues with this. AI cannot replace human expertise and over reliance could lead to a critical skills and knowledge shortage. Likewise, significant data privacy and security issues exist with the use of AI. Businesses should refrain from inputting sensitive or confidential data into generative programs which share this information with third party sources. Unfortunately, AI algorithms also contain significant biases, given they are trained on preexisting data. Relying too heavily on AI could result in unfair outcomes for groups of customers or employees who have been overlooked due to data biases. Ultimately, taking a common sense approach with the use of AI, and researching any programs you use ahead of time, will help you avoid these issues as a business.”...Dynamic Business, 12d ago
AI and Emotion Recognition in Armed Conflicts: Balancing Privacy and Military Objectives Although with certain possible variations, both LEAs and armed forces must respect IHL and IHRL in the context of armed conflicts. In this field, emotion recognition-based intelligence gathering involves several considerations. With in mind what has been presented so far in terms of possible interferences with IHRL, the fact that IHL does not explicitly address privacy rights as the former is worth highlighting. Only in a few instances, certain provisions such as Arts 27 of the Geneva Convention (IV), 75 AP I, or 14 of the Geneva Convention (III) mention formulations somehow connected to the protection of “honour and family rights”, which partly resemble those IHRL grants to the protection of the “right to private and family life”. More specific to data protection are then those views considering the protection IHL grants to “medical services” extendable to both medical and other kinds of data. On this point, the fact that biometric-derived data are increasingly utilised in health assessments, e.g. to predict the risk of stroke, seems of particular relevance. Similar reflections might more easily bring the association of sensitive biometric-based data to the discipline concerning the protection of medical records and data. Having just simply sketched a few entry points on privacy and armed conflicts, there might be further reasons to consider that privacy concerns should be taken more into account when at war. And these relate to the effects that extensive and intrusive surveillance practices can have on civilians and local populations affected by a conflict. In this sense, possible interferences with privacy rights should also be part of the “legal review” Article 36 AP I requires for the introduction of new weapons, means, or methods of warfare. ERT could be considered as an equipment/system ‘used to facilitate military operations’ – i.e. a means of warfare, whose compatibility with ‘any […] rule of international law’ has to be verified. However, leaving aside these issues for a moment, other reasons could instead justify the deployment of ERT on the battlefield. As suggested by cinematographic advertising videos on advanced Unmanned Vehicles (UVs), the combination of computer vision and a broad array of sensors allows efficiencies in various tasks performed by armed forces. The deployment of UVs equipped with tools capable of analysing the context of a given operational environment, thanks to the detection of human-to-human interactions and other bodily cues, could help in labelling ambiguous situations as impracticable for an attack due to the significant presence of civilians, or simply as “not dangerous”. By way of illustration, in the aftermath of an explosion in an urban theatre of war, the recourse to ERT could allow the label of a group of people running on a street as “frightened civilians”, instead of having them erroneously considered as “an incoming threat”. In the near-future, similar tools could provide valuable help in respecting the basic principles governing the law of armed conflicts. The reference is to the distinction between legitimate military targets and protected person, the principle of proportionality, and that of precautions. If it is true that the protection afforded to civilians is not “absolute” in the sense that civilian casualties are tolerated when proportionate to considerations on the military advantage pursued by a certain action, advanced forms of “emotional intelligence” could catalyse adherence to IHL provisions. Commanders could better perform their obligations of doing ‘everything feasible’ to ‘verity that the objectives to be attacked are not’ subjects protected under IHL, by choosing ‘means and methods of attack with a view to avoiding, and in any event minimi[s]ing, incidental loss of civilian life, injury to civilians […]’. The fact remains that the deployment of instruments based on the processing of biometric and biometric-based data would imply significant interferences and possible violations of privacy rights. In addition, not always the specific characteristic of a battlefield would allow commanders to deploy avant-grade devices prior to an attack – this aligns with those interpretations of Article 57 AP I, which see in the expression ‘everything feasible’ a context-dependent and variable due diligence obligation. Most importantly, all that preceded took – once again – for granted the reliability of such instruments, something that, given the implications their deployment could give rise to, ought not to be underestimated. Taking “Emotional Security” Seriously: Conclusions? The use of ERT and similar tools in law enforcement and military operations raises complex legal and ethical issues. Balancing the need for public safety and security with the protection of human rights is crucial in determining appropriate modalities for the legitimate design and deployment of these technologies. Privacy rights must be respected, and potential discriminatory and chilling effects should be carefully considered and prevented. Similarly, in armed conflicts, privacy concerns and the safety of civilians should be prioritised by ensuring compliance with IHL and IHRL. Yet, in the context of military operations the possibility of these tools catalysing adherence to IHL to protect human lives and prevent suffering might override some IHRL considerations. As these technologies continue to advance, to have policymakers, academia, and society as a whole engaged in discussions to establish comprehensive frameworks that uphold human rights while harnessing the potential benefits of ERT seems essential. Currently, even more basic biometric identification systems, such as Facial Recognition Technology (FRT), raise significant concerns – irrespective of their use in peace or wartime.Opinio Juris, 20d ago
The Role of Patient EmpowermentOne crucial aspect of chronic disease management that deserves further exploration is patient empowerment. Empowering individuals to take an active role in managing their health can lead to better outcomes. Patients armed with knowledge about their conditions and the tools to monitor their health are more likely to adhere to treatment plans and make healthier lifestyle choices.Patient education plays a pivotal role in this process. Healthcare providers should ensure that patients understand their conditions, treatment options, and the importance of regular check-ups. Additionally, digital health platforms and mobile applications have emerged as powerful tools for patient engagement. These platforms provide patients with resources, self-monitoring capabilities, and access to support networks, fostering a sense of control over their health.Innovations in Remote MonitoringAdvances in technology have paved the way for innovative remote monitoring solutions. Patients with chronic diseases can now use wearable devices to track vital signs, such as blood pressure, blood glucose levels, and heart rate, from the comfort of their homes. These devices transmit data to healthcare providers in real-time, allowing for early intervention in case of any abnormalities.Moreover, artificial intelligence (AI) has started to play a significant role in remote monitoring. AI algorithms can analyze patient data trends and issue alerts when deviations from normal patterns occur. This proactive approach to healthcare can prevent complications and reduce hospital admissions, ultimately improving the quality of life for patients.Tailored Treatment PlansPersonalization is a key trend in chronic disease management. Each patient is unique, and a one-size-fits-all approach may not be effective. Healthcare providers are increasingly adopting personalized medicine, which involves tailoring treatment plans based on an individual's genetics, lifestyle, and response to therapy.For example, in the field of oncology, genetic profiling of tumors helps oncologists select the most effective targeted therapies. Similarly, in diabetes management, continuous glucose monitoring provides real-time data that allows for personalized insulin dosing adjustments. These advancements not only enhance treatment efficacy but also minimize potential side effects, leading to improved patient comfort and compliance.The Role of Healthcare PoliciesGovernment policies and regulations play a significant role in shaping the Chronic Disease Management Market. Policymakers are increasingly focusing on preventive measures, early diagnosis, and value-based care models. These initiatives aim to reduce the overall burden of chronic diseases on healthcare systems and improve population health.For instance, some countries have implemented sugar taxes and regulations on unhealthy food marketing to combat obesity and related conditions. Additionally, reimbursement models are evolving to incentivize healthcare providers to prioritize preventive care and patient education. Understanding the impact of these policies is essential for stakeholders in the Chronic Disease Management Market.Global Collaboration for ResearchResearch and development efforts in chronic disease management benefit from international collaboration. Researchers, pharmaceutical companies, and healthcare organizations worldwide are working together to find innovative solutions. Collaborative efforts facilitate the sharing of data, resources, and expertise, accelerating the pace of discovery.Furthermore, global partnerships are essential for addressing chronic diseases that disproportionately affect certain regions, such as malaria and tuberculosis. International organizations play a crucial role in coordinating efforts to combat these diseases and ensure equitable access to treatments and prevention strategies.Addressing Mental Health in Chronic Disease ManagementChronic diseases not only affect the physical health of individuals but also take a toll on their mental well-being. Managing a chronic condition can lead to anxiety, depression, and decreased quality of life. Recognizing and addressing mental health as an integral part of chronic disease management is gaining importance.Integrated care models that combine physical and mental health services are becoming more prevalent. Additionally, patient support groups and mental health counseling are being incorporated into chronic disease management programs. By addressing both the physical and emotional aspects of living with a chronic condition, healthcare providers can offer more holistic care to patients.Related ReportVasomotor Symptoms Treatment Market...openPR.com, 9d ago
High on the negative side are concerns about unknown and unquantified biases in AI training data. The danger is that these could lead to discrimination against certain authors or groups of authors, or against research which is innovatory and therefore unfamiliar from training data. Large Language Models (LLMs) can also return different answers to the same question, making AI-led review arguably just as susceptible to inconsistency as humans. There are serious reservations about confidentiality, especially where information fed into an AI tool might make its way back into training data and thus the public domain. One recent study showed that a neural network AI model could successfully identify the authors of a large proportion of submitted papers based simply on the first few hundred words of the submission. This may not in itself be an issue (many human reviewers can at least guess at authors’ identities, after all), but it becomes more sinister if an AI tool starts to discriminate against certain authors. While human reviewers are also not free from bias, the ‘black box’ nature of most AI models means that such outcomes could be hard to predict or definitively identify. Both the US National Institutes of Health and the Australian Research Council have banned grant reviewers from using LLMs like ChatGPT for this reason. It is difficult to see how even specialist tools can be held legally responsible for their output or accountable for confidentiality. Another concern is that such tools may not remain free, increasing inequality rather than levelling it out; they are already not available in certain countries.COPE: Committee on Publication Ethics, 18d ago
Limitless Distributed storage:NexaVault AI furnishes clients with limitless distributed storage, killing worries about capacity impediments and repeating charges. Clients can store a broad measure of information without constraints.AI-Controlled Information The board:The stage uses progressed man-made brainpower for information order, association, and security. The AI framework wisely orders and arranges information, improving by and large effectiveness.Powerful Safety efforts:NexaVault AI focuses on security, offering start to finish SSL encryption to guarantee the assurance of client information. This best in class security highlight shields records and data all through the capacity and recovery processes.Flexible Document Transfer and Reinforcement:Clients can easily transfer and back up documents utilizing a straightforward three-step process. This remembers logging for from any gadget, relocating documents for super quick transferring with pressure innovation, and along these lines sharing substance.Visual computerization Application:The stage includes a strong visual communication application, filling in as a high level Photoshop substitution. Clients can make outwardly engaging illustrations and pictures with only a couple of snaps, even without broad plan abilities.10TB of Space:NexaVault AI offers a significant 10TB of distributed storage at a surprisingly low one-time cost. This furnishes clients with more than adequate space to store and deal with a tremendous measure of interactive media and information.Effortless Reinforcement:Clients can back up the entirety of their significant records, guaranteeing they'll at absolutely no point ever dread losing them in the future. This component adds an additional layer of safety and dependability to the capacity arrangement.Start to finish SSL Encryption:The stage guarantees information security with free start to finish SSL encryption. This safety effort makes client information secure from one finish to another, improving the general wellbeing of put away data.Work in Picture Proofreader:NexaVault AI incorporates an implicit picture supervisor, permitting clients to alter and upgrade their pictures straightforwardly inside the stage. This element is a helpful device for fast realistic changes.Interactive media Opportunity:Clients can store and oversee limitless pictures, sounds, and recordings effortlessly. The stage upholds an assortment of media designs, giving clients adaptability.Flexible Sharing Choices:NexaVault AI empowers clients to share documents easily through different strategies, including insert codes, gathering codes, and connections. This flexibility makes cooperation and content sharing consistent.General Transfer:Whether it's a record, report, or whole envelopes, clients can transfer anything they need. The stage upholds a widespread transfer usefulness for different document types.Instinctive Intuitive:Clients can basically move records, making the transferring system easy to understand and instinctive. This element upgrades the general convenience of the stage.Cloud Drive Capacities:NexaVault AI fills in as a complete cloud drive, considering consistent joint effort and simple admittance to put away records. Clients can involve it as a focal center point for overseeing and getting to their information.Auto-Capacity Development:The capacity limit develops with client needs, naturally acclimating to utilization designs. This guarantees that clients generally have adequate extra room for their information.A single Tick Sharing:Share documents with a single tick outsider sharing, making coordinated effort a breeze. This element works on the most common way of imparting content to other people, improving client joint effort.Shareable Connections:Clients can create shareable connections to get to their records from anyplace. This element gives a helpful method for sharing substance across different stages.Worldwide Availability:Clients can sign in and access their information from anyplace on the planet, on any gadget, whenever. This worldwide openness guarantees that clients can deal with their records from a distance.Iron-Clad Information Insurance:Sit back and relax realizing information is safeguarded with cutting edge safety efforts. NexaVault AI carries out hearty information security protocols, guaranteeing the wellbeing and trustworthiness of client information.Effective Mass Transfer:Clients can transfer various documents immediately, even behind the scenes, for an issue free encounter. Mass transfer usefulness upgrades effectiveness while managing a lot of information.Lightning-Quick Exchanges:The stage uses a progressive pressure calculation, guaranteeing expedient transfers and downloads. Lightning-quick exchanges upgrade the general speed and responsiveness of the stage.Organizer Downloads:Clients can download individual documents as well as whole envelopes as Compress records for accommodation. This component smoothes out the most common way of recovering various documents all the while.Premium Help:NexaVault AI gives day in and day out premium help to quickly determine any issues. Clients can depend on devoted help to address their interests and requests.All NexaVault AI OTO Links Here ===> https://otoslinks.com/nexavault-ai-oto/All $40k Value bounese here = Coupon Code ===> https://otoslinks.com/nexavault-ai-oto/Business Permit Included:Clients can involve NexaVault AI for individual or business purposes with the included permit. This business permit adds adaptability to the manners in which clients can use the stage.Search Your Records with Transfer Dates:Clients can look for records in view of their transfer dates. This element upgradeContact Us:...openPR.com, 21d ago

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new AI-driven risk assessment tools: These tools stand at the forefront of security strategy. By meticulously analyzing vast datasets, they can provide insights into the likelihood and potential impact of threats. This allows organizations to allocate resources more strategically, ensuring high-risk areas receive the attention they deserve. For example, financial institutions could use these tools to detect patterns that might indicate fraudulent transactions or unauthorized access attempts.CDInsights, 2d ago
new Among the lowest-hanging fruit for AI in government involves press releases and other forms of communication from agencies to residents. Zencity, for example, debuted a ChatGPT tool that writes what amounts to a first draft of a press release — including potential quotes from public officials. That could save significant time for city managers, among other advantages, according to the company.Municipal budgeting, too, could serve as fertile ground for generative AI.A new AI tool from ClearGov takes in past budgeting data and future estimates to produce what officials sometimes call a budget narrative. Such narratives, which put spending figures into context, often help those officials sell the budget to peers and voters. AI could bring more efficiency to the process, usually the most difficult and contentious work undertaken by local and state governments.Generative AI also gained more of a presence in higher education in 2023. The technology can help with essays, math problems and lesson plans, with work completed within seconds. But fears of plagiarism and other abuses have led to a more cautious welcome for AI in universities and colleges than in city halls, with large school districts such as the one in New York City initially placing restrictions on ChatGPT.College deans and local school boards continue to grapple with the full implications of AI. So are other governmental bodies as the technology hogged more of the spotlight as 2023 progressed. Maine imposed a six-month ban on the use of AI for state employees using state devices or conducting state business. Officials said they needed time to study the privacy, bias and misinformation concerns sparked by ongoing deployment of AI-based products. Executive orders started to emerge at a regular clip as fall rolled around, with Pennsylvania, Virginia, Oklahoma and New Jersey governors all issuing guidance within a few weeks of each other. Their missives were followed within weeks by an AI Executive Order from the White House in late October. Each official action recognized both the potential and the risk, with many calling for outside help to develop appropriate policies for safe use in service of their residents.It’s almost impossible, however, to imagine a gov tech future without much more artificial intelligence. Evidence for that comes from every corner of the industry.For instance, industry giant Tyler Technologies touted its growing ability to use AI for quicker and more accurate court filings, whose complex coding and redaction requirements often force judicial employees to perform manual data entry. Klir’s new AI-backed offering is designed to improve water management and compliance, with what the company calls “holistic” views of utility systems delivered via a chatbot fueled by artificial intelligence.Startups, of course, have also embraced AI, as shown by the most recent cohort from CivStart’s gov tech accelerator program, which provides at least some foreshadowing of the tools public agencies might be using a few years from now. One of the program participants is using artificial intelligence to help local officials — many of them new to the grunt work of government — write and manage legislation.GovTech, 2d ago
new Now, I think that we’ve talked about these power targets, and we’ve talked about these assassination targets, and, of course, there are many different types of targets that could be considered, under international law, more legitimate — for example, militant cells, for example, ammo warehouses, for example, you know, rocket launcher pits. And I think that to look at the civilian devastation that is happening right now in Gaza, you have to understand that it’s a consequence of a particular Israeli war policy. It is a war policy that has a very loose interpretation of what a military target is, also attacking people in civilian spaces. It is a war policy that centers on deterrents and hitting these power targets that are intended to place civilian pressure on Hamas. And it is a war policy that is increasingly being helped by the use of big data, automation software and AI. And again, I don’t know everything; I’ve only spoken to several sources. But my evidence suggests that many, many of the civilians who are being killed in Gaza are being killed as a result of these policies, that I do not think are justifiable policies. International law experts would call them war crimes. And that’s why I don’t think that what Blinken is saying is true, honestly.Truthout, 2d ago

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new But they also have to keep up with resident expectations: “Sixty-four percent of constituents say governments need further enhancements to customer service, efficiency and accessibility, with 70 percent wanting governments to embrace advanced technologies, such as 5G for faster communication and AI for improved efficiency,” reads another finding.But these ideas aren’t necessarily in conflict. We have made a lot of progress since the dawn of the Internet, and there is still much to do. The spirit of continuous improvement that pervades public-sector IT offices is an encouraging sign that today’s leaders are committed to making incremental change in government despite what they’re up against. The mission is worth it.GovTech, 2d ago
Would-be scammers have long used the tactic of impersonating someone to steal money from victims, but now AI technology allows cybercriminals to use the technology to impersonate a family member or another loved one. Social media platforms like TikTok and messaging platforms like WhatsApp allow criminals to record voices that they can then clone and manipulate to suit their needs. A McAfee report released in May found one-quarter of adults surveyed globally have experienced an AI voice scam.They often use "old-school" tactics of impersonating a family member calling someone for money because they, for example, have car issues or have had an accident, lost their wallet or phone or are one vacation abroad and need help. These types of scams typically target the elderly, who do not understand the technology that enables them. Gillibrand said these tactics of using AI are from international criminal networks that can be highly sophisticated."Having AI be able to generate the voice of your grandson or your sister or your mother is terrifying. So, it's hard to find these criminals," Gillibrand said. "Most seniors who have fallen prey to any of these scams have lost their money for good, rarely are we able to actually get the perpetrator. So, that's why we're giving more tools to law enforcement. That's why we're raising the fines. We're making it a much more serious crime and this will help hopefully law enforcement be able to catch some of these criminals."...GovTech, 3d ago
..."A data governance platform that simplifies these tasks with well-integrated, best-of-breed capabilities can make it easier to provide a holistic view of data assets to a broader range of users. A modern data governance approach combines discovery, classification, quality, and access management capabilities to ensure the free flow of high-quality data to those that need it without compromising on security and privacy. Combined with AI-powered automation, this approach can lead to faster and more informed decision-making and dependable data-driven outcomes – crucial for insurers in today’s highly competitive and regulated market.”...insurtechdigital.com, 3d ago
Fraud detection is a constant challenge for the financial industry. Traditional methods rely on rule-based systems and pattern recognition to identify fraudulent activities. However, these methods can be limited in their ability to detect sophisticated and evolving fraud techniques. Quantum AI, with its advanced computational capabilities, can analyze large volumes of data in real-time and identify patterns and anomalies that may indicate fraudulent behavior. This can help financial institutions detect and prevent fraud more effectively, protecting both their customers and their own assets.Techiexpert.com, 3d ago
...1, a, ability, About, about meeting, accordingly, accuracy, achieve, across, Act, Action, actions, activities, activity, Added, Adds, adhere, adherence, advanced, advancements, AFC, against, agenda, AI, alert, alerts, algorithms, align, alignment, All, Allowing, already, also, AML, among, an, analysis, Analysts, Analyze, and, another, answer, answers, anti, anti-money, anti-money laundering, appetite, applicable, apply, approach, approaches, arduous, ARE, around, AS, assess, assessment, Assessments, assist, associated, At, attention, automate, Automated, automated workflow, Automation, Autonomously, Banks, based, BE, been, being, better, between, Blog, board, bodies, Book, both, Burden, But, buzz, by, CAN, can help, capabilities, case, cases, categorize, causing, centralized, challenge, challenges, challenging, changes, Checks, clients, closing, cohesive, collaboration, combat, combination, complexity, compliance, comprehensive, conducted, considerably, considered, consistent, 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significant, significantly, silos, simultaneously, single, skill, skill-based, slows, So, SOLVE, Sound, sources, specific, speed, Spotting, stakeholders, stand, standardized, standards, starting, stay, steps, still, straight, Strategic, Streamline, Streamlining, structured, subject, substantial, Such, Summary, susceptible, SWIFT, system, systematically, Systems, T, taking, Talk, task, tasks, Teams, tech, Technological, Technology, text, texts, thanks, that, The, their, Them, There, These, they, this, Thorough, those, thoughts, threat, threat response, threats, Through, time, time-consuming, timely, times, to, Today, tools, top, towards, Town, Tracking, traditional, Transformation, transforming, triage, truly, two, types, under, Understanding, Unified, unleashing, unprecedented, untapped, up, Updates, use, using, usual, utilizing, value, variability, variations, Various, verge, very, View, volume, volumes, Vulnerable, way, we, WELL, What, When, whenever, where, Which?, while, widely, with, within, workflow, working, workload, world, You, Your, zephyrnet...Zephyrnet, 3d ago
There’s currently much debate within AI circles about whether AGI systems are inherently dangerous. Some researchers believe that AGI systems are inherently dangerous because their generalized knowledge and cognitive skill will permit them to invent their own plans and objectives. Other researchers believe that getting to AGI will be a gradual, iterative, process in which there will be time to build in thoughtful safety guardrails at every step.Fast Company, 3d ago

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This is the first decision you’ll have to make for your news organization. My answer to this question as a seasoned news product leader is “no, but our ethical qualms in using this technology are surpassed by how it can help us contribute so much more to the end goal — serving our audience.” In the meantime, we have to contend with this uneasiness and consider how can we contribute to getting licensing in place so local newsrooms receive compensation from AI use.American Press Institute, 3d ago
These trends, as they evolve in the coming year, will result in substantially decreased costs for implementation, making ST2110-based workflows more accessible and cost-effective for a wider range of broadcasters. And by opening these new opportunities to a broader swath of content providers, more innovative and engaging content can be produced and delivered to more viewers. Leveraging new AI and Machine Learning technology to personalise and amplify viewer experiences will drive increased engagement and loyalty, while providing broadcasters with rich, valuable insights into their customers’ behaviors and habits. This, in turn, will allow them to develop even more relevant and enticing viewing experiences that build deeper connections with audiences. These AI tools can also be leveraged to upscale SDR content to HDR and enhance 4K image quality, further adding value to content libraries that may have been once discounted as being “outdated” or “stale.”...TVBEurope, 3d ago
In order to keep up with customer demands, insurance companies must process and share sensitive customer data with a myriad of third parties all while ensuring their customers have the ability to access, change and submit their information instantaneously through websites and their mobile applications. This new landscape has placed APIs at the heart of insurance, poses new security challenges and shines a spotlight visible to malicious actors looking to exploit. In fact, according to survey respondents from Salt Security's State of API Security for Financial Services and Insurance, 92% had experienced at least one significant security issue with their production APIs over the past year, an alarming figure. Further, as a result of Covid, there has been a spike in the number of insurance providers globally that have adopted state of the art, API driven, AI-based automation technology to provide services, process customer claims, as well as support the underwriting process. In fact, according to McKinsey & Company, AI is poised to reshape the insurance industry by 2030. Insurance business leaders are now being forced to address the compounded emerging challenges in security, requiring them to augment, update, or replace existing security defenses swiftly and effectively.Digital Insurance, 3d ago
The glaring omission of the Ai Pin and one of the first things anyone asks about when I’ve mentioned the device is apps. The Ai Pin doesn’t run apps, instead its Cosmos operating system (based on Android) is home to a variety of “AI experiences,” that allow you to do different things with the device. These are specially trained models and chatbots built to handle specific tasks or enable certain kinds of functionality. Maybe they connect to some other platform (Humane has listed Tidal and Slack as partners) or access specific parts of the Ai Pin’s hardware, but the idea is you never have to worry about updating them and Humane will add more and more experiences over time so your Ai Pin can only get more useful.Inverse, 3d ago
I believe that journalists could learn the basics of coding as well, especially if they are part of a local small newsroom that is understaffed. That could facilitate communication with engineers on the team or give reporters the possibility to set up tools that contribute to their work. For example, when I was a journalist in a small newsroom, I automated some processes using Zapier, which helped me capture subscribers for MailChimp using a Google Form and Instant Articles. The AI tools of Canva could also help a reporter to set up social media posts in an automated way.American Press Institute, 3d ago
In terms of digital transformation in the supply chain industry, we recognise the importance of centralising data into a ‘digital core’ that can be exposed to advanced AI models, such as GPT and other language models. This enables us to harness the power of these technologies to improve our processes and offerings. At Overhaul, we have been working on a risk monitoring solution that allows us to manage risk to our customer’s cargo in a single pane. Initially designed for human operators, we have increasingly exposed this data to our RiskGPT offering, which serves as a digital double-check for our risk managers. This allows them to operate with confidence, even under the pressure of the real-time constraints of cargo risk monitoring.Silicon Republic, 3d ago

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...“In reality, poor quality data leads to incorrect outcomes. Without appropriate data governance to support a self-service model for data consumers, organisations risk creating data insights that are damaging in the short-term,” Tooley describes. “While in the long-term, it reduces the potential credibility of AI technologies.”...technologymagazine.com, 3d ago
Goal: We're working on a new system that makes it easier for artificial intelligence to understand what's important to you personally, while also reducing unfair or biased decisions. Our system includes easy-to-use tools that help you identify and mark different situations where the AI might be used. These tools use special techniques, like breaking down text into meaningful parts and automatically labelling them, to make it simpler to create settings that are tailored to you. By doing this, we aim to address the problem of AI not fully grasping people's unique backgrounds, preferences, and cultural differences, which can sometimes lead to biased or unsafe outcomes.alignmentforum.org, 3d ago
I love that JEB is run by a not-for-profit company, by scientists for scientists, focusing on curiosity-driven research and fostering scientific excellence while supporting the community. There have been so many changes in the publication landscape over the past couple of decades and, when the Open Science movement started out, I really thought, ‘Oh, this is the future’. But then so many for-profit Open Access journals started popping up, cluttering the publication landscape. Now, there's so much more noise and completely rubbish science being published, because it's not undergoing a rigorous review process overseen properly by scientific editors. Some Open Access journals are predatory and have made scientific publishing worse. At JEB, we care about our community, we care about supporting the authors and maintaining the integrity of the scientific process. Of course, we do need change in scientific publishing, but if you have not-for-profit journals run by scientists for the community, they will evolve their publication process in a way that meets the needs of the scientific community. They're not going to be chasing the next fad for profit, like some of the newer journals. I've published articles in some of the big Open Access journals and I've also observed how those journals have evolved over time, to the point where they have automated internal systems and become a ‘paper farm’. At some of these journals, the Editor doesn't select reviewers, because it's all automated by AI; it's even hard for an Editor to intervene in the article handling process to remove an offensive review or to reject a paper because of a fundamental scientific flaw. The system automatically assigns new reviewers until two reviewers accept an article for publication. Now, I refuse to interact with such journals. I will not review for them or submit papers, because I realize just how far they have taken the profit motive. The way forward is to support not-for-profit journals run by the scientific community for the community.The Company of Biologists, 3d ago

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In many non-profits, the period-close revolves around painstaking clerical repetition that can stretch on for many days to weeks, hindering the ability to access real-time information to understand performance and react quickly to changing circumstances. “Closing time” sets off a flurry of activity as you pull data from other enterprise applications, test-audit and trial-close accounts, scour the GL for errors, and more. While we all appreciate good teamwork among finance pros, it’s clear that these are tasks that AI is increasingly able to take on.diginomica, 21d ago
Data tools like ChatGPT, colloquially called Artificial Intelligence (if you think a fancy autocomplete is actual AI), have the promise to do a lot of good. There are some concerns about human content 'creators' being replaced but we don't miss the 150,000 fewer bank tellers we had before the rise of ATMs and a lot of writing done by humans is pretty generic.Like any computer code, the art will be making sure quality goes in. So if someone who is selling some kind of elimination diet book - gluten-free, vegetarian, low carb, etc. - puts a lot of that stuff in, Large Language Models can write articles endorsing their fad, so right now "AI" is basically vomiting out articles about how to get eating disorders.And scaring us, because while you may claim things like 'Hank should be nicer toward awful grifters wrapping themselves in a halo because they promote subsidies for themselves' and 'media should promote more good news stories', that is not what actually gets read.During holiday season, there will be any number of articles terrifying us about food safety. Relax, you have a greater chance of being murdered over Thanksgiving than you do dying from an allergy, and there is plenty of conventional food to buy so you won't have to worry about all the toxic chemicals in an organic feast.The only real concern during the entire season is oral health and weight gain. Yet even in those instances the holidays themselves are no problem; you won't get fat binging on Thanksgiving potatoes or get cavities from Halloween candy. The 'abstinence only' form of nutrition is both ineffective for most and bad science for everyone. It is instead the three-month wrapper around Halloween, Thanksgiving, and Christmas that can add pounds or risk of bad teeth.If you are not intentionally skewing the results, ChatGPT is pretty sensible for both weight and oral health.Mindful eating isn't that weird wellness/mindfulness Deepak Chopra nonsense, they just mean use some judgment; my great-grandmother lived to be over 100 and her only diet advice was 'eat when you're hungry, stop when you're not' and that serves everyone well. I would include soda and juice in with alcohol as sneaky calories - a glass of orange juice is basically a Coca-Cola with a vitamin C supplement. Most people can't do anything about their sleep without pharmacology, and that can lead to its own problems, but if low-impact things like avoiding tablets, avoiding eating, and not having pets in the room can mean better sleep, do it.My sentence was 'during the holidays', which in the US is basically 25 percent of the year, so ChatGPT isn't wrong for discussing exercise, stress, and portion control - but on Thanksgiving, go nuts.Unless you are the kind of person who can't get back on track if you get off.On oral health, ChatGPT is pretty good as well.If you're wearing a mouth protector during your family football game that seems a bit much, but don't take advice on that from a guy who's half deaf in his right ear from being in the army without ear protection and having a hillbilly brother who would pull up a rifle and shoot at a deer no matter how close to you he was.On the actual holidays, like Halloween or Thanksgiving, go crazy. Chewing gum is the only thing I will do basically every day between brushing and I am not much for sugary treats, but if you are, don't do them for three straight months.ChatGPT came through this okay, even though I know most articles written by it are steering people toward a product or agenda. In a future world, AI will not spew out eating disorder advice 41 percent of the time, but government is determined to take over AI, which means instead of converging on a better future, we'll have a world where companies are forced by politicians to do the equivalent of displaying warnings on sandwiches not to eat the wrapper.Credit...Science 2.0, 11d ago
The development of autonomous AI systems, which can make decisions and take actions independently, raises several ethical concerns. For example, autonomous AI systems are capable of making decisions without human intervention, which can lead to unforeseen consequences. This is why balancing autonomy with human oversight is crucial for ensuring responsible AI usage. It is imperative to establish methods that enable humans to oversee, regulate, and intervene in autonomous AI systems in order to deter immoral or detrimental conduct. Ensuring the safety of AI systems and assessing associated risks are also critical aspects of AI accountability. Implementing safety protocols and risk assessment practices helps identify potential issues and prevent AI systems from causing harm.AI Time Journal - Artificial Intelligence, Automation, Work and Business, 11d ago
Policymakers need to be cautious regarding tech companies' significant political capital. It is vital to involve them in regulatory discussions, but it would be naive to trust these powerful lobbyists to police themselves. AI is making its way into the fabric of the economy, informing financial investments, underpinning national healthcare and social services and influencing our entertainment preferences. So, whomever sets the dominant regulatory framework also has the ability to shift the global balance of power. Important issues remain unaddressed. In the case of job automation, for instance, conventional wisdom would suggest that digital apprenticeships and other forms of retraining will transform the workforce into data scientists and AI programmers. But many highly skilled people may not be interested in software development. As the world tackles the risks and opportunities posed by AI, there are positive steps we can take to ensure the responsible development and use of this technology. To support innovation, newly developed AI systems could start off in the high-risk category - as defined by the EU AI Act - and be demoted to lower risk categories as we explore their effects. Policymakers could also learn from highly regulated industries, such as drug and nuclear. They are not directly analogous to AI, but many of the quality standards and operational procedures governing these safety-critical areas of the economy could offer useful insight.Business Insider, 19d ago
One common concern when implementing AI in sales is the fear of job displacement. However, it’s important to emphasize that AI enhances human capabilities rather than replacing them. By automating repetitive tasks and providing data-driven insights, AI enables sales professionals to focus on building relationships with customers and making strategic decisions. This collaboration between humans and AI can lead to increased productivity and better outcomes for both the business and its employees.ValiantCEO, 17d ago
Working with studio, one-bedroom and two-bedroom units made by Factory_OS, a Vallejo manufacturer of modular housing, designers used the AI software from Autodesk, whose computer-aided design programs are already the industry standard, to rapidly model thousands of configurations of how the buildings might fit onto the lot, and how much carbon would be emitted to get them there."Architecture and buildings is about 40% of the global carbon problem," said David Benjamin, director of architecture, engineering, and design research at Autodesk, whose team applied the software to the project."The impossible problem that maybe AI can help with is how are we going to drastically increase the total amount of floor area while we're drastically decreasing the total carbon emissions from all buildings?" Benjamin said.Using the parameters of the former Phoenix site and the fixed dimensions of the Factory_OS units, Benjamin's team modeled how seven smaller structures and one large bar-shaped building could be moved around to optimize for green space, walkability to BART, sunlight, noise reduction and other criteria.Ultimately, two designs — one with a large central green area and the other a more distributed landscape with the smaller buildings sprinkled in a checkerboard arrangement — went before the Oakland Planning Commission. The first, so-called " Central Park" scheme was ultimately chosen, Benjamin said.Using the software meant "we know exactly what we're building early on," said Jamie Hiteshew, director of development at Holliday Development, Factory_OS' property development arm and the project lead for the Phoenix site. That way, "we're not churning through a lot of iterations of site plans," and going back and forth between stakeholders, he said.The first phase of the project, which has been permitted and broken ground, includes around 100 units, 51 of which will go to formerly homeless people. Hiteshew estimated that Autodesk's software cut about six months from the design process.Still, property development experts cautioned that AI would solve only part of their problems. Planning and design typically account for just about 5% of total project costs for Bay Area developments, said Carolyn Bookhart, director of real estate development at the nonprofit Resources for Community Development, in an email. Other estimates range as high as 10%.Bookhart, speaking generally and not specifically about the Phoenix project, said 60% to 70% of project costs typically come from the actual construction.Designing the new development with the Autodesk software meant the process was faster than having to repeatedly redraw the designs to focus on a particular factor, such as carbon emissions or cost, said Ryan McNulty, a principal architect at MBH Architects, which also worked on the project.A human architect could optimize for specific attributes, such as heating or privacy, Benjamin said, while the system "can explore hundreds of options really quickly."McNulty said the tool shaved off hours in design time that would otherwise have to be done by hand, adding, "for us it's a tool to understand what we're trying to do and make decisions faster and more effectively." But, he cautioned, it's "not a silver bullet that allows us to press a button and build a building."Autodesk isn't the only software maker or researcher applying AI to design and construction. Companies including Riveia, HD Lab, and TestFit are also testing various forms of so-called generative design that let creators imagine buildings inside and out.A project at nonprofit tech research institute SRI International devised a generative AI program to turn sketches into potential architectural designs and more efficiently map textures onto existing buildings, in partnership with Japanese construction giant Obayashi Corp.SRI Senior Computer Scientist Eric Yeh said his team is working on ways to alter aspects of an AI-generated building design using text prompts. He hopes to come up with tools that can map out an initial building design, including its cost and other attributes, in the near future.Another company called Augmenta, which was founded by Autodesk alum Francesco Iorio, aims to take 3D models of buildings and use AI to automatically determine the best placement for internal systems such as electrical wiring, factoring in cost, electrical codes, and the availability of parts.Iorio, who worked on Autodesk's AI technology originally intended for designing aircraft components — the predecessor to the AI building design software — said automating parts of the construction design stage could also represent huge savings on large, non-residential projects such as hospitals or offices.Software company Slate in Pleasanton gives construction managers a single database that gathers all the deadlines and moving parts of a project, from subcontractors to open requests for information. It even accounts for weather conditions. CEO Trevor Schick said he hopes to build a software tool by the end of this year that can generate designs based on a set of parameters, along with a detailed project and construction schedule.From that perspective AI software is seemingly transformative. Yet for housing developers facing slow-moving financing and permitting processes, it may represent only an incremental improvement.Case in point: The final development permit to begin building on the Phoenix site was approved by Oakland's planning commission nearly five years ago, according to an email from Jean Walsh, Oakland's public information officer. The planning approvals were extended twice to give the developers more time, she said.One longtime nonprofit housing expert was skeptical about how much impact AI could have on affordable housing development."The nonprofit housing industry is already unequivocally the most skilled manager of building development," said Sam Moss, executive director of San Francisco's Mission Housing Development Corporation, speaking in general and not about the Phoenix project.Moss conceded that there are opportunities to make the process more efficient. "But in terms of making a giant impact where we're going to deliver all these magical units a year earlier, it's way more important to focus on drastically increasing our funding" and pass pro-housing legislation, statewide he said.At the Phoenix project, construction is moving along. But the project has yet to receive a final development permit for the remainder of its more than 200 market-rate units, according to Walsh, Oakland's public information officer.Said Hiteshew, the developer. "We don't have firm pricing for the balance of phase two, or the total project."©2023 the San Francisco Chronicle, Distributed by Tribune Content Agency, LLC.GovTech, 19d ago

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...pat: Okay. Contrary to what you think, my words are not fully general counterarguments that I launch against just anything I intuitively dislike. They are based on specific, visible, third-party-assessable factors that make assertions believable or unbelievable. If we leave aside inaccessible intuitions and just look at third-party-visible factors, then it is very clear that there’s a huge community of writers who are explicitly trying to create Harry Potter fanfiction. This community is far larger and has far more activity—by every objective, third-party metric—than the community working on issues related to alignment or friendliness or whatever. Being the best writer in a much larger community is much more improbable than your making a significant contribution to AI alignment when almost nobody else is working on that problem.lesswrong.com, 3d ago
Helge Baur at Allianz Capital Partners said: “The next bigger evolutionary step will [be] can AI really add value to our decision making? For example, investment colleagues always ask when can we start to use it in terms of data support, as in making decisions, giving us better decisions and so on? That’s a tough one, right? Because we still start with major efficiency gains. And then we need to see, how can we do it? Especially because we also have a need to look into whether it’s a data set, how does that influence decisions and so on? So from a regulatory perspective, which boundaries do we give to AI? And this discussion needs to take place on different levels. We defined for us that none of the communication to clients, for example, goes out directly out of the machine, everything is reviewed. It’s the same on all sides, it may change in the future. Let’s see.”...delano.lu, 3d ago
The final skill on my hiring list is the one that connects everything together. AI advancements are often “black-box”, which means it becomes harder to understand what is working and what performance means. AI is also susceptible to bias, so it quickly becomes a self fulfilling prophecy unless we fuel it with innovative ideas to learn from. A generalist is needed to understand holistic performance and inform budget decisions; connect a granular testing plan with overall performance; and ensure learnings are being shared between platforms and between teams.advertisingweek.com, 3d ago
So if a user types in the chatbot that they would like to delay their order because they won’t be home, such an AI might keep telling them the status of their order without actually answering their query. If you spoke to a human who understands language nuance, they would know that just because certain words are in a prompt doesn’t mean the same thing every time. But AI, as we’ve established, does not. Instead, it learns to predict patterns in language and works based on those. Hallucinations also tend to occur when a user gives a prompt that is poorly constructed or too vague and this can cause confusion. Typically, AIs will become better at language prediction over time but AI hallucinations are still bound to happen now and again.Coinspeaker, 3d ago
Training individuals to use AI ethically is essential in order to ensure responsible and unbiased deployment of this powerful technology. Ethical AI training equips individuals and organizations with the knowledge and skills to navigate the challenges and identify risks that arise when working with AI systems. It ultimately boils down to mitigating risk – just like anti-bribery and corruption policies, as well as the importance of data privacy and security. By providing individuals with the necessary training, we can foster a culture of ethical AI use, where technology is harnessed for the benefit of all while mitigating potential harm and ensuring equitable outcomes.RTInsights, 3d ago
The proposed rules would require companies to inform people ahead of time how they use automated decision-making tools and let consumers opt in or out of having their private data used for such tools.Automated technology — with or without the explicit use of AI — is already used in situations such as deciding whether somebody is extended a line of credit or approved for an apartment. Some early examples of the technology have been shown to unfairly factor race or socioeconomic status into decision making — a problem sometimes known as "algorithmic bias" that regulators have so far struggled to rein in.The actual rulemaking process could take until the end of next year, said Dominique Shelton Leipzig, an attorney and privacy law expert at the law firm Mayer Brown. She noted that in previous rounds of rulemaking by the state's privacy body, little has changed from inception to implementation.The proposed rules do pose one significant departure from existing state privacy rules, she said: Requiring companies to provide notice to consumers about when and why they are using automated decision-making tools is "pushing in the direction of companies being transparent and thoughtful about why they are using AI, and what the benefits are ... of taking that approach."The rules are not the state's first run at creating privacy protections for automated decision-making tools.One bill that did not make it through the state Legislature this year, authored by Assembly Member Rebecca Bauer-Kahan, D-Orinda, sought to guard against algorithmic bias in automated systems. It was ultimately held up in committee but could be reintroduced in 2024.State Sen. Scott Wiener, D-San Francisco, has also introduced a bill that will be fleshed out next year to regulate the use of AI more broadly. That effort envisions testing AI models for safety and putting more responsibility on developers to ensure their technology isn't used for malicious purposes.California Insurance Commissioner Ricardo Lara also issued guidelines last year on how artificial intelligence can and can't be used to determine eligibility for insurance policies or the terms of coverage.In an emailed statement, his office said it "recognizes algorithms and artificial intelligence are susceptible to the same biases and discrimination we have historically seen in insurance.""The Commissioner continues to monitor insurance companies' use of artificial intelligence and 'Big Data' to ensure it is not being used in a way that violates California laws by unfairly discriminating against any group of consumers," his office said.Other Bay Area lawmakers came out in support of the privacy regulations moving forward."This is an important step toward protecting data privacy and the unwanted use of AI," said State Sen. Bill Dodd, D-Napa. "Maintaining human choice is critical as this technology evolves with the prospect for so much good but also the potential for abuse."The first hearing on the proposed rules is on Dec. 8.© 2023 the San Francisco Chronicle. Distributed by Tribune Content Agency, LLC.GovTech, 3d ago

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The quality of AI-supported decisions, therefore, will be determined by the quality of the data used to train AI and the quality of the judgments that guide them. Conversely, missing or biased data will lead to suboptimal system behavior. Decisions about appropriate action become challenging when there is political complexity or controversy in decision-making institutions. All the impressive AI achievements are in areas where companies have figured out how to solve the data and judgment problems, typically where decision problems can be very well constrained and lots of representative data can be collected. For other tasks, such as determining the mission and values of an organization, AI is of little use. Companies that figure out how to reorganize themselves to exploit AI complements, which entails investing in data infrastructure and rethinking decision-making processes, may potentially gain a competitive advantage. Substitution alone, however, will not provide a major advantage. AI substitution may even undermine performance if an organization or its environment are unable to accommodate it.Texas National Security Review, 26d ago
If future humans will ever be satisfied by an AI they created so much that they will be willing to entrust it with their future, then that will be that. I don't know if the moment will ever come, but it would be their choice to make. But the thing we should not do is buy into a belief system in which the worth of humans is made dependent on some bare bones quality that humans happen to possess, and that can then be improved upon, leading to some kind of gotcha where we're either guilt-tripped into admitting that AI is superior to us and deserves to replace us, or vice versa, forced to deny its cognitive ability even in the face of overwhelming evidence. Reject the assumption. Preferring humans just because they're humans, just because we are, is certainly a form of bias.lesswrong.com, 22d ago
Human Error: While not yet perfect, AI tools are able to avoid (with enough training) errors that humans may otherwise make. For example, because AI systems operate using pre-set rules, they are less likely to make an error that a human may be prone to making with a large set of data.cicnews.com, 14d ago

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Jim Davis: There will be some situations where lights out will make sense. However, I see this more as automation and autonomy needing to increase to address the economics of competitiveness, increasing requirements, increasing complexity, and using the workforce in better ways (AI is critical). There’s a lot of economic headroom to drive a progression of human involvement, control, automation, and autonomy, but it is expensive. When we talk across companies and industries, economics remains the key driver. Importantly, there is a process in building the maturity that comes from using data and gaining a deeper understanding of the operation so automation and autonomy can be implemented and sustained with trust. This mindset about data and a maturity process with staged benefit and investment is not accounted for very well yet.The Manufacturing Leadership Council, 3d ago
...“For decades, technology companies were shielded from accountability… This underscores the conclusion the security community came to long ago: Industry incentives are not only inadequate to foster strong cybersecurity; they are often contrary to the goals of strong cybersecurity. It doesn’t pay to slow down development in the interest of secure design. The same lesson applies to AI—when industry incentives and the public interest are misaligned, even the best-intentioned companies cannot resist the yoke of market drivers. “...The Strauss Center, 3d ago
...“Artificial intelligence machines capable of generating text-based works pose a serious threat to the writing profession. Generative technologies built using vast amounts of copyrighted works without the permission of or compensation to authors and creators can cheaply and easily produce works that compete with—and displace—human-authored books, journalism, and other works. The market dilution caused by AI-generated works will ultimately result in a shrinking of the profession as fewer human authors will be able to sustain a living practicing their craft, and shut out important, diverse voices. Beyond the economic impact on writers, the unregulated development and use of generative AI technologies will lower the quality of books, journalism, and public discourse fundamental to democratic culture.Good e-Reader, 3d ago
...“Investors that succeed in a challenging market will be those that prioritise developing more intelligent data driven insights and leveraging technology to improve efficiency and decision making. The other thing that needs to happen to encourage growth is a better transaction process that facilitates more efficient and cheaper buying and selling of commercial and residential real estate. Particularly in more challenging economic conditions, protracted transactions which are slowed down by lack of data, resources or manpower can derail a perfectly viable deal. We can’t be in that position going into 2024, especially with the range of technologies we have at our fingertips. It was fantastic to see the Chancellor confirm in his Autumn Statement an addition £3 million to digitise local council data and develop new technological solutions to speed up residential transactions. We hope that signals further investment from both industry and government to develop and integrate new technologies, particularly game-changing innovations like AI, which could dramatically speed up transaction times, saving individuals and businesses a huge amount of time and money, and creating a sector that’s better primed for growth.”...Legal Futures, 4d ago
Once the content is reached, a further challenge arises in distinguishing between genuine defects and non-defective scenarios. AI must differentiate between blurriness resulting from compression and deliberate artistic choices, or between a black screen indicative of a defect and one that occurs during a transition. The ability to accurately identify true defects is paramount to improve the provider’s service and enhance the user experience.TVBEurope, 4d ago
Once you have access to more information, you still need to break down the interoperability barriers that prevent a clean import of medication history data into your EHR. Clinical-grade AI can normalize prescription nomenclature standards and instructions (sigs) into the terms your system uses and safely infer missing data based on context. AI can also translate national drug codes between different databases and populate free text into discrete fields in your EHR. With AI handling tedious tasks and avoiding the risk of keyboard errors, clinicians can spend more time on patient care. If necessary, at any point, the AI will flag issues that need staff input, acting as your clinical co-pilot in medication safety.HealthcareNOWradio.com, 4d ago

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People are interacting with LLMs ever more frequently. Individuals turn to ChatGPT for a wide array of requests, from seeking help with homework and recipe suggestions to grappling with ethical dilemmas. Such advice, at times, can go sour. Instances made headlines reporting that AI advised a child to insert a penny into a power socket,10 provided instructions on shoplifting and creating explosives,11 and suggested users end their relationships.12 From the user’s standpoint, the impact of such guidance can be profound, sometimes resulting in life-altering decisions. For instance, reports have surfaced that a woman divorced her husband following ChatGPT’s advice to do so.13 Already in the 1960s, AI pioneers like Joseph Weizenbaum warned about the risks of people ascribing human qualities to computer-generated advice.14 As these risks are even more pertinent today, regulations demanding transparency have been proposed to counteract them. The pivotal question remains: Does transparency actually work?...psychologytoday.com, 6d ago
The same basic principles apply to other forms of media, such as audio and video. A 2023 paper from Farid’s group at UC Berkeley describes a series of detection strategies for discerning real voices from AI-generated voices that rely on “statistical and semantic inconsistencies” to predict which voices are fake. Such techniques are known as “passive” since they can be performed after the content has been generated, but have a shorter shelf life as models improve. This limitation is one of the reasons that many practitioners have turned their focus towards “active” techniques, which embed a watermark or extract a fingerprint from synthetic content at the point it is created. Digital fingerprints are cryptographic hashes, like those used in PhotoDNA, that can be used to track a single piece of synthetic content across the web. Watermarking is a conceptually similar statistical process that is used to demarcate AI-generated content, at the time of synthesis, by introducing typically imperceptible amounts of noise. Academics have also proposed other provenance-based methods to track the source of images and other media as they spread across the web. Such tools have high barriers to adoption because they require coordination of image creators as well as buy-in from the public.Tech Policy Press, 24d ago
The QRDI Council, entrusted with developing and implementing the QRDI 2030 Strategy, is pivotal in strengthening Qatar's innovation ecosystem. EnterpriseSG, a statutory board under Singapore's Ministry of Trade and Industry, champions enterprise development and innovation in Singapore. In August 2023, the QRDI Council has also entered into another MoU with the Public Utilities Board (PUB) in Singapore. This was signed when Prime Minister and Minister of Foreign Affairs of the State of Qatar, His Excellency Sheikh Mohammed Bin Abdulrahman Bin Jassim Al Thani, visited the city state at the invitation of the Prime Minister of Singapore, Mr. Lee Hsien Loong. This MoU focuses on initiatives to digitize small and medium-sized companies and incubation programs, further cementing the QRDI Council's commitment to nurturing innovation and entrepreneurship. The partnership with SWITCH, the groundbreaking collaborations established through the MoUs, and the upcoming QSJIC collectively underscore the QRDI Council's dedication to fostering a culture of innovation and driving economic growth through technology and knowledge. Appendix A: QSJIC Challenge Details Airport Operations: MATAR (Qatar Company for Airport Operation and Management) Playing a critical role in managing and operating Hamad International Airport (DOH) since the facility's inception in 2014, MATAR continues to elevate the aviation industry with its renowned forward-thinking plans and investments – winning multiple awards and accolades. The challenges from MATAR are as follows: Challenge no. 1: 'Recovery and Recycling of Sludge from Wastewater Treatment' The challenge is to find innovative and economically viable solutions for the recycling and recovery of sludge produced by wastewater treatment plants, addressing issues such as environmental impact, resource recovery, and cost-effectiveness in alignment with MATAR's commitment to sustainable sludge management. Challenge no. 2: 'Optimised Allocation of High Value and Limited Asset Resources' The challenge is to harness deep reinforcement learning to revolutionize resource allocation strategies in transportation and logistics, aiming for a 10% increase in efficiency by optimizing high-value resources like planes, stands, trucks, and ships across various critical sectors, such as airports, seaports, and logistics centers, ultimately offering a cost-effective alternative to infrastructure expansion while considering multifaceted factors like customer experience and commercial considerations. Challenge no.3: 'Floating Solar Panels' The challenge is to source for novel floating solar solutions that is durable against environmental factors, have an adaptive and resilient designs that can optimise the performance and stability in different conditions, and is able to achieve high level of efficiency. Insurance: QIC (Qatar Insurance Co.) Established in 1964, QIC is Qatar's pioneering insurance company. With a leading presence in Qatar and a strong foothold in the GCC and MENA regions, it ranks among the largest insurers in the MENA area. QIC is publicly listed on the Qatar Stock Exchange with a market capitalization exceeding QAR 7 billion. Additionally, it is the first digital insurance company in Qatar and was honored as the top online insurance company in the Middle East at the 2022 Global Banking & Finance Review Awards. The challenges from QIC Digital Venture Partners, a part of QIC Group, are as follows: Challenge no. 1: 'Any ESG Project that could impact positively or get impacted by Insurance Companies' The challenge is to identify ESG issues that insurance can address as a value lever within various insurance sectors, with a focus on the MENA region or global applicability through reinsurance/Lloyds. Successful solutions should have a validated MVP in collaboration with a regional industry partner, preferably an insurer. Challenge no. 2: '(Generative) AI in the Insurance Value Chain' The challenge is to innovate and implement AI solutions that transform various aspects of the insurance industry, from customer interactions to value creation, across retail, commercial, and reinsurance sectors. Successful partners should possess a validated insurance use case with another insurer, backed by a proven MVP within the insurance value chain in collaboration with a regional insurer. Environmental Sustainability: The Ministry of Environment and Climate Change (MoECC) The Ministry of Environment and Climate Change (MoECC) is a service ministry that set up a number of goals, foremost of which are protecting the environment, preserving natural resources, and reducing emissions that contribute to climate change. The challenges from the MoECC are as follows: Challenge no.1: 'Carbon footprint for Aluminum Production' The challenge is to create a tool for the Environmental Assessment Department that can quickly and accurately assess the environmental impact of new projects. The tool should include models for air, emissions, seawater, land data, and historical information. It should help decision making on new projects and verify environmental impact studies. The goal is to save time and improve accuracy. Challenge no.2: 'Environment Impact Assessment' The challenge is to create a tool for the Environmental Assessment Department to streamline the assessment of environmental impact studies for new projects, addressing the current issue of time-consuming reviews. The tool should incorporate air, seawater, and land models historical data and provide decision-making support for new projects. It must meet environmental standards, with a focus on Qatar's region. Hashtag: #QRDICouncil...SME Business Daily Media, 26d ago
Ethical concerns arise as AI systems lack transparency, making it challenging to understand their decision-making. Facial recognition technology, for example, has faced criticism for privacy infringement and misidentification issues. AI’s potential for surveillance poses a significant threat to personal freedoms, raising questions about surveillance ethics. Bias in AI algorithms, seen in hiring processes, has led to calls for responsible AI practices to mitigate discrimination. Deepfake technology presents ethical dilemmas as it can be used to create misleading content or impersonate individuals.globaltechcouncil.org, 28d ago
...“The unique information encoded in the brain might be related to processing dynamic information and high-level cognitive processes like memory and attention,” explains co-lead author Feilong Ma, a postdoctoral fellow in psychological and brain sciences.With face processing, people don’t just determine if a face is different from another, but also infer other information such as state of mind and whether that person is friendly or trustworthy. In contrast, current DCNNs are designed only to identify faces.“When you look at a face, you get a lot of information about that person, including what they may be thinking, how they may be feeling, and what kind of impression they are trying to make,” says co-author James Haxby, a professor in the Department of Psychological and Brain Sciences and former director of the Center for Cognitive Neuroscience. “There are many cognitive processes involved which enable you to obtain information about other people that is critical for social interaction.”“With AI, once the deep neural network has determined if a face is different from another face, that’s the end of the story,” says co-author Maria Ida Gobbini, an associate professor in the Department of Medical and Surgical Sciences at the University of Bologna. “But for humans, recognizing a person’s identity is just the beginning, as other mental processes are set in motion, which AI does not currently have.”“If developers want AI networks to reflect how face processing occurs in the human brain more accurately, they need to build algorithms that are based on real-life stimuli like the dynamic faces in videos rather than static images,” says Guo.dartmouth.edu, 23d ago
Lack of learner control: A notable concern arises from the lack of learner control when content recommendations are exclusively driven by AI algorithms. In such cases, learners may experience a diminished sense of control or autonomy over their learning journey, potentially affecting their motivation and engagement in the process. The passive role of receiving automated recommendations without active involvement in the content selection may lead to reduced personalization and ownership of the learning experience. To address this concern, it’s crucial to provide learners with opportunities to have some level of control and agency in the content selection process. This could include features such as allowing learners to customize their preferences, providing options for manual content search, or integrating user feedback mechanisms to enhance the user’s sense of control and involvement in the learning process.Training Industry, 28d ago

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Professional service providers (including lawyers) will need to rethink their business models, especially if they are heavily reliant on revenue generation in areas that can be reliably and efficiently replaced by AI—e.g., document review and diligence. The traditional pyramid model where you have a high volume of junior associates doing these tasks may no longer be economically feasible. There will be widespread upskilling as many tasks will no longer require humans to execute them. Similar to the prior industrial revolutions, most existing necessary functions of organizations will transform in a dramatic and material way.Fast Company, 4d ago
The industry is evolving rapidly, with new technologies and improvements introduced regularly. Companies that invest the time and effort to understand these changes and potential improvements are likely to gain a competitive advantage over time. And these extend beyond the business, to the workforce also. Enabling employees to go a few steps beyond their usual set of skills, to building AI and LLM-based capacities, will lead to increases in employee productivity. This will also future-proof the workforce, allowing businesses to confidently tackle the challenges that may emerge with rapidly changing AI.CoinGenius, 4d ago
When AI starts by building extremely general models and then attempting to apply them to specific educational situations, risks abound. Thus, a second aspect of my proposal suggests that our efforts towards powerful, safe AI should begin with well-bounded problems. One that seems well suited to today’s AI is determining how to provide optimal supports for learners with disabilities to progress in mathematics problem solving. Although I believe parents are not willing to share their students’ data in general, I can imagine a collective of parents becoming highly motivated to share data if it might help their specific neurodiverse student thrive in mathematics. Further, only limited personal data might be needed to make progress on such a problem. Thus a second element of my proposal is (2) energize nonprofits that work with parents on specific issues to determine how to achieve buy-in to bounded, purpose-specific data sharing. This could involve a planning grant stage, which if successful, would result in money needed to establish a local privacy-protected method of sharing data.The Thomas B. Fordham Institute, 4d ago

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Image recognition – Multi-modal AI can precisely identify objects, persons, and activities through the analysis and interpretation of visual data, including photos and videos. Technologies that rely on image and video analysis have developed largely thanks to the ability to analyze visual information. Improved security systems with person identification capabilities and the ability for self-driving cars to perceive and react to their environment are some of its examples.MarkTechPost, 4d ago
...• Create: Corporate culture shifts. A company’s culture plays a crucial role in determining its success with GenAI. Companies that struggle with innovation and change will find it tough to keep pace. Does your company have a learning culture? That could be the key to success. Does your company foster a shared sense of responsibility and accountability? Without this shared sense, it is more likely to run afoul of the ethical risks associated with AI. Both questions involve cultural issues that boards should consider prompting their management teams to examine.DATAQUEST, 4d ago
AI can fuel the ideas of more education entrepreneurs. Steve Jobs said that the personal computer was like a “bicycle for the mind,” but in the hands of education entrepreneurs, AI is more like an airplane, allowing them to do more and higher-quality work than was previously possible. Studies show that good management matters, including in schools—and AI tools are poised to make high-quality management advice more accessible to the masses. In a recent study, researchers at Harvard Business School showed that access to GPT-4 helped consultants at Boston Consulting Group produce higher-quality work and also leveled the playing field between lower and higher performers. If education entrepreneurs can leverage AI tools in a similar way, many more people with a passion to educate children will be able to generate strategic plans, pressure-test their curricular and pedagogical ideas, and build other key infrastructure needed to move from an idea to a more fully-formed organizational concept.The Thomas B. Fordham Institute, 4d ago
Leveraging generative AI, doctors can reduce the amount of detail patients must remember on the spot — in turn, helping them retain a deeper understanding. In terms of administrative tasks, such as making notes during calls or verbal patient-doctor communication, generative AI-powered mobile apps that record conversations could automate note-taking and propose context-aware actions, such as ordering medication. Removing the need to handwrite reminders in diaries takes the pressure off both parties, allowing them to listen to one another actively. Additionally, patients can schedule appointments or check clinical information at their convenience using simple voice commands to remind themselves of what was discussed.electronichealthreporter.com, 4d ago
The primary use of Dash Cams is for recording evidence (especially in the context of road accidents) and to help combat corruption, fraud, vandalism, and other crimes. Insurers are encouraging users to adopt dash cams by reducing premiums as they can reduce instances of false claims significantly. In commercial scenarios, AI-enabled dash cams are being used to improve in-cab driver coaching and driver behaviour. While Dash Cams are becoming more common worldwide, data security regulations like GDPR pose serious challenges to the market's expansion.transformainsights.com, 4d ago
Moshe observed that when performing processor design back in the 70’s, designers weren’t referred to as tall thin engineers. They typically did architecture, micro architecture, algorithms, logic design, circuit design and sometimes even layout. Very broad in their ability to do things, but not as deep. Moshe said that he was an expert in the use of multi-dimensional Karnaugh maps and was a colleague of Zvi Kohavi, and then came Synopsys. It put him out of business and had to go into management. He said that this overall was a 30-year transition, and AI will do this in a third to a fifth of the time. AI will unfold at a much faster rate and be more impactful. An inhibitor will be an availability of data, but he expects that there will be a big donation and it will be fascinating to see how it unfolds.Semiconductor Engineering, 4d ago

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Enhanced Search with GenAI: In 2023 we have witnessed an increase in the use of GenAI solutions such as ChatGPT which helped businesses with enhanced natural language understanding, content generation, and improved customer interactions. However, these tools become less effective for use cases that require accurate responses, due to AI hallucinations. In such cases, users can get accurate answers through traditional search engines. As a result, in the upcoming year, we can anticipate the emergence of a new generation of solutions that leverage both GenAI and conventional search engines to tackle the hallucination challenge. Instead of using GenAI solely for generating responses, they will be employed to formulate improved queries for conventional search engines.CXOToday.com, 4d ago
Diffusion models train by adding noise to images, which the model then learns how to remove. The model then applies this denoising process to random seeds to generate realistic images. However, due to the complex computation process, including a mix of matrix and vector operations, image generation speed can become a bottleneck. Deploying these models—which can have over 1 billion parameters—on-device can be challenging due to restricted device computational and memory resources. The ideal solution is a neural network accelerator that supports convolution and attention-based models. Still, there are ways to accelerate generative AI on existing hardware, which we explore in the following discussion.Semiconductor Engineering, 4d ago
In LLMOps the main differences compared to MLOps are model selection and model evaluation involving different processes and metrics. In the initial experimentation phase, the data scientists (or fine-tuners) select the FM that will be used for a specific Generative AI use case.This often results in the testing and fine-tuning of multiple FMs, some of which may yield comparable results. After the selection of the model(s), prompt engineers are responsible for preparing the necessary input data and expected output for evaluation (e.g. input prompts comprising input data and query) and define metrics like similarity and toxicity. In addition to these metrics, data scientists or fine-tuners must validate the outcomes and choose the appropriate FM not only on precision metrics, but on other capabilities like latency and cost. Then, they can deploy a model to a SageMaker endpoint and test its performance on a small scale. While the experimentation phase may involve a straightforward process, transitioning to production requires customers to automate the process and enhance the robustness of the solution. Therefore, we need to deep dive on how to automate evaluation, enabling testers to perform efficient evaluation at scale and implementing real-time monitoring of model input and output.CoinGenius, 4d ago
Measuring purchasing power eliminates these distortions, which is why nobody measures purchasing power: once we calculate costs in terms of hours worked, we recognize that a much larger percentage of our labor / earnings is devoted to paying for essentials. Simply put, we're getting less value for our labor.Pundits tend to overlook the fundamental sources of declining purchasing power. These include:1. Decay of gains reaped from globalization. Stripped of corporate PR, globalization is the ruthless exploitation of as-yet unexploited pools of cheap labor and resources. This exploitation yields enormous gains at first and then these gains decay as wages rise and the easy-to-get resources are depleted.The dependence on foreign sources for essentials has also been revealed as a national security threat, and so the catch-phrase is "de-risking," which means developing multiple sources of essentials.2. Capital demanding higher returns due to soaring global risks. In the conventional view, the Federal Reserve chair waves a magic wand and lowers interest rates at will. It's not quite that simple. All new debt--for example, Treasury bonds--must be purchased by capital, and if risks are rising, capital demands a risk premium to offset the known unknowns and the unknown unknowns, both of which are proliferating rapidly.If capital is no longer willing to accept low yields, yields have to rise regardless of central bank policy, and this drags interest rates higher. Yes, central banks can create currency out of thin air and use this free money to buy Treasury bonds, but ballooning the money supply has its own consequences:3. Increasing the money supply to maintain a sclerotic, unproductive status quo generates a decline in the purchasing power of currency. Throwing trillions of new units of currency around doesn't magically mean production of goods and services increase, or the quality and quantity of items increase. It just diminishes the value of existing units of currency.4. Global scarcities crimp supply, pushing up costs. Humans have a very high opinion of themselves, but fundamentally we're like rabbits (or rats, if you prefer) let loose on an island without predators. Like rabbits, we proliferate and consume more per rabbit until the resources have been consumed. Then we wonder why scarcities arise. But AI, blah-blah-blah. AI can't restore depleted soil or reverse droughts.5. Soaring entitlements must be paid for with higher taxes. Promises made decades ago in different conditions require ever greater resources must be skimmed by governments. Creating money out of thin air isn't a solution (see #3 above) and so the government must collect a greater share of income and wealth. The more taxes we pay, the less we have left to spend on essentials and discretionary purchases.This is a global dynamic. Global entitlements and debt are both soaring.substack.com, 4d ago
Data classification is the key to achieving both a smart data strategy and compliant AI data governance. Gaining a clear understanding of what aged, duplicate, trivial, and risk data exists within a given environment and being able to properly manage that data, via deletion, migration, or opting to not input it into AI tools, is only possible by first classifying that data. Beyond risk mitigation, data classification also lends itself to data storage cost savings through defensible remediation. Enterprises with robust, ongoing data classification practices, on average, eliminate 10% orphan data risk, eliminate copy data growth due to backup by 20%, and can push 20% more infrequently used data to object storage. Once AI regulations are fully in place, active data classification will also play a significant role in maintaining compliance and avoiding costly financial and reputational penalties.prnewswire.com, 4d ago
The update follows increased interest in generative AI tools such as ChatGPT, Bard, and Grok. A notable example involved a US law firm using ChatGPT for legal research, leading to the citation of fictitious cases in court. Wendalyn Nichols, Cambridge Dictionary's Publishing Manager, remarks that AI's capacity to ‘hallucinate’ serves as a reminder for humans to apply critical thinking when using these technologies. While AIs excel at processing vast data, their originality can sometimes lead them astray.electronicspecifier.com, 4d ago

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Generative AIs are exceptional applications for helping with incident reaction. By building workflows that involve AI insights to examine payloads related with incidents, the suggest time to take care of (MTTR) of incidents can be noticeably decreased. It can be critical to use retrieval augmentation in these scenarios, as it really is probable unachievable to prepare a model to account for each attainable circumstance. When you utilize retrieval augmentation to more external information resources, these as threat intelligence, you achieve an automated workflow that is correct and is effective to remove hallucinations.The Cyber Security News, 4d ago
Face generation models are known to contain bias that can under-represent minorities; this stems from their training data. The study found that white AI-synthesized faces are especially able to pass as real, even when compared to real human faces. This is likely a result of the bias in the AI face-generation model used in the study. Nvidia's StyleGAN2 image generator is an algorithm released in 2020 and has been trained primarily on white individuals—69% white, and 31% all other races combined. This bias has likely led to white AI faces appearing more average than others, causing to them to be perceived as especially realistic and human. Research on updated AI face generation models will be important. Also, this bias has important implications in cases where face generation models are used in law enforcement or medicine.Psychology Today, 4d ago
Generative artificial intelligence tools, like ChatGPT, are likely to deeply impact education and measurement, by changing what is taught and how it is taught, what constructs are measured, and how they are measured. We, as measurement professionals, should know how they are designed and trained, as well as how to evaluate them. The session will begin with the survey of advances in artificial intelligence, with a focus on the innovations that helped lead to generative AI, and how these innovations also improved automated scoring and the processing of text. Following this, the architecture and training methods underpinning generative tools will be discussed, with a focus on their strengths and limitations, particularly as it applies to measurement. The talk will end with a discussion on current research methods and results used when examining the performance of these tools in educational measurement, including the limitations and strengths of these approaches.https://www.apa.org, 4d ago

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While prompt remediation, apologies, and quick fixes are important, it is necessary to dig deeper into why these errors occurred and ensure appropriate guardrails are established so other harmful technical mistakes don’t make their way into production. These models function in ways that rely on corpuses of user generated content from the internet and from these social media companies’ own platforms. Research has suggested this leads to embedded bias and downstream results that perpetuate harms towards marginalized communities. If there is an influx of hate speech and incitement on these platforms, how can we be certain it doesn’t emerge from or creep into training data that is used by AI systems? Societal ills, bias, and racism are amplified by generative AI technology, and when combined with the scale of social media platforms, the results can spread quickly online, introducing even more risk to groups facing imminent threats.Tech Policy Press, 26d ago
...“Each year, Resilinc ranks the top 30 suppliers with the highest Resiliency Score (R Score®), which measures supply chain resiliency based on key metrics such as performance, network resilience, transparency, continuity of supply, and risk program maturity. What did every company on the list have in common? They each had a high degree of transparency and ongoing collaboration with OEMs to provide supply chain intelligence down multiple tiers. For companies looking to achieve the same level of resiliency and visibility, this requires the implementation of multi-tier supply chain mapping and monitoring. In order to have real-time visibility into any potential ESG breaches or other risks, it is necessary to deploy monitoring tools and predictive AI solutions that enable a quick response in addressing emerging issues proactively. Conducting ongoing supplier risk assessments is another recommended practice. This will identify suppliers that may be more susceptible to issues of non-compliance.”...manufacturingdigital.com, 15d ago
Fantastic question. The answer is, it has increased the conversations around the topic, and I think created almost two camps within financial services. And you could slightly correlate these camps to the asset sizes of the institutions they work with, but it wouldn’t be perfect. And the one camp, sees the promise, sees the value, sees the risks, of which there are many, sees the risks as well, but wants to figure out, and in many cases needs to figure out, you know, a number of institutions that we work with, you know, have a indirect mandate from their board to figure out a way to leverage this technology. So they have a real desire to figure out how to make it work for them. With a healthy, I would say, healthy dose of fear. The other camp is just been too inundated, you know, sees the word AI, and immediately turns off. And, you know, as I’ve been active on the conference circuit, as many others have for the past two months, and it has been very interesting to me to see, people are not in between, or I have found very few in between, they fall in one of those two camps. You know, I believe very strongly in the power that AI technology, broadly speaking, has to bring to the finance industry. If you understand that with great power comes great responsibility. And, you know, these tools can be used to make things a lot better, especially in the issues of fairness. They could also be used to ingrain bias and scale bias exponentially into decisions going forward. And we’re at, I think, an inflection or decision point where, you know, I really hope it goes the former way. But if we don’t have the right controls in place, controls that don’t stifle innovation, but controls, we could have a situation where all the biases of the past become encoded in the decisions of the future.Zephyrnet, 11d ago
The commercial and industrial energy transition can sometimes seem like a chronological oddity—taking hold 10 years from anywhere. The end zone looks to be a long way off.Truthfully, most industry sources acknowledge the future is now for deep investments in decarbonation technologies on all fronts, from renewables to electrification to microgrids and energy efficiency. While waiting may be counter-productive, the business case also must be immediate and obvious to the customer, as well.The electrical distribution technology sector, Schneider Electric’s Rohan Kelkar said, is the backbone of the C&I energy transformational moves. And even the backbone—from switchboards to motor controls—has to make its fiscal case now.“In the end, like everything else, we will be successful in the journey if it’s cost-effective,” Kelkar, executive vice president of Schneider Electric’s global power products division, said in an interview with Microgrid Knowledge.“This has to make sense,” he noted. “The economics of sustainability and changing the way you do power management has become a local topic.”Local means here and now. Some of the fruits of decarbonization are not as evident in the near term as they will be years down the road, but CFOs and sustainability managers need to calculate the cost-benefit ratio at this moment.SE’s power products unit creates the tools that convert the digital to the operational. A microgrid, for instance, is a body made up of three parts: the controller, which is the brain; the generation assets, which are the physically active components; and the connective tissue such as the circuit breakers, switchgear, and boards which shift digital control to generation output, whether it’s solar, batteries or gen-sets, he added.“We were kind of the sleepy side of the industry, as everybody focuses on the generation side,” Kelkar said.But now a giant has awakened as the future of distributed energy and resiliency of the overall grid increasingly relies on bi-directional flow of energy. Think virtual power plants, microgrids, vehicle to grid, and etc.Electric utilities face an extreme challenge, both commercially and technically, to their one-time and one-way dominance, Kelkar said. Prosumers are gathering power and decentralized or distributed energy resources (DER) are combining forces to create a gathering storm to the old ways.Yet the disturbance in the force must be harnessed and controlled to benefit all parties. That’s where artificial intelligence (AI) and on-site installation of direct current (DC) DERs comes into play.“In a way we have too much data and too little insight. . . Technically, how do you manage it? Operationally how do you manage it?” Kelkar added. “Some grids are not capable of handling it, and that creates challenges and opportunities.”Microgrids are becoming ever more prominent dotted along the energy landscape in the U.S. and around the world. Transparency Market Research, for one, estimates that the microgrid sector is growing about 11 percent annually and may more than triple from 2020 to $206 billion in value by 2031.DC appears to offer the best use-case flow for that scaling up, many industry leaders said at the RE+ event earlier this fall, echoing Kelkar’s thoughts on the subject.DC microgrids can offer several key efficiencies and higher integration of on-location resources such as rooftop solar and battery storage. Many industry experts, including Kelkar, believe it could be the preeminent method of electricity distribution for the future.“Scratching the surface of this frontier are DC microgrids,” he pointed out, while noting that Thomas Edison was pushing direct current as a primary electric transmission method nearly 150 years ago, losing out to Tesla, Westinghouse and alternating current.DC, however, is A-Ok and ideal for on-site power power generation since much of the equipment is already built for direct flow.“To manage and scale that microgrid, the larger number of sources and loads are a complex challenge (best solved) with DC,” Kelkar said.AI’s rise and resulting growth in power load is close to 10-fold over what it was even a decade ago. The data center and cloud sectors require connection and generational capacity beyond what the traditional grid can likely offer, not even taking transportation electrification into account.“Can we design things smartly so they can draw less power?” Kelkar asked. “We’re going into the basic principles of design. Second, when we deploy a product can we dynamically manage the consumption?”There’s good old sleepy energy efficiency again, a “first fuel” for decarbonization that benefits from digital controls, sensors and AI to make sense of all that data.And reducing greenhouse gas emissions is ever more crucial as climate change unleashes its impact with accelerating ferocity.“There’s education and urgency to take action around sustainability and decarbonization,” Kelkar noted. “It is very top of mind for all of these companies. The question is how can we do it and not collapse the grid?”...Microgrid Knowledge, 18d ago
But election administrators must be wary of possible risks. AI’s capacity to locate and synthesize vast amounts of public data can generate phishing attacks tailored to election officials whose contact information exists in the public domain. If these officials have privileged access to sensitive voter and government data, the integrity of the elections they oversee may be jeopardized if their personal information and administrative duties are exploited by malware or ransomware. AI models could also be written to further suppress and disenfranchise voters by disseminating misinformation or disinformation, particularly to less-informed citizens who may be more vulnerable to baseless election fraud narratives. There also could be partisan biases in the way voter rolls are “cleaned up” using AI, with minority voters being disproportionately targeted.Brookings, 12d ago
Similar to some previous sections, for security teams, this directive presents a unique challenge. It's not enough to ensure that the AI systems the company uses are secure; they must also be free from discriminatory bias. This is a complex task that goes beyond traditional security measures. It requires a good bit of understanding how AI models work, how they can inadvertently lead to discriminatory outcomes, and how to test for it. Many teams may need to hire — or work closely with — external data scientists to ensure that the AI models being used are being tested for bias.wiz.io, 12d ago

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AI, in its current form, is adept at analysing and learning from data to optimise existing solutions, such as with Large Language Models (LLMs). Nevertheless, it lacks the capacity for the forward vision that characterises human innovation. While AI may one day excel at completing complex tasks such as surgery or contributing to new literary works, the essence of innovation — which often involves a leap into the unknown — remains uniquely human. AI may optimise the path to a known destination, but spotting the next horizon is a journey it has yet to undertake. But who's to say it won't undertake such a journey in the future?...electronicspecifier.com, 4d ago
The opposing school of thought—led by Yann LeCun, another top AI researcher, who works for Meta—argues that the harbingers of AI doom are overstating the dangers of such research. Proponents of this position are often called “accelerationists,” because they believe that artificial intelligence will primarily be a force for good and that society should therefore facilitate its rapid development. In some cases, critics of the slow-and-steady approach go even further, arguing that this doom-saying plays into the hands of giant companies such as Microsoft and Google by implying that AI research is so dangerous that only a small number of large corporations should be allowed to do it. This, critics say, could lead to regulatory capture, with governments cementing the monopolies of a few companies by implementing rules designed by the industry itself.Columbia Journalism Review, 4d ago
The Executive Order on the development and use of artificial intelligence (AI) issued by President Biden on October 30 is a directive that contains no fewer than 13 sections. But two words in the opening line strike at the challenge presented by AI: “promise” and “peril.”As the document’s statement of purpose puts it, AI can help to make the world “more prosperous, productive, innovative, and secure” at the same that it increases the risk of “fraud, discrimination, bias, and disinformation,” and other threats.Among the challenges cited in the Executive Order is the need to ensure that the benefits of AI, such as spurring biomedical research and clinical innovations, are dispersed equitably to traditionally underserved communities. For that reason, a section on “Promoting Innovation” calls for accelerating grants and highlighting existing programs of the Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) program from the National Institutes of Health (NIH). And the Colorado School of Public Health is deeply involved in the initiative.ColoradoSPH helps ensure that artificial intelligence serves and empowers all peopleAIM-AHEAD is a national consortium of industry, academic and community organizations with a “core mission” to ensure that the power of AI is harnessed in the service of minorities and other groups historically neglected or poorly served by the healthcare system. A key focus – though not the only one – is using AI to probe electronic health records (EHRs), which can be rich sources of clinical and other data.“The goal of [AIM-AHEAD] is to use this technology to try to eliminate or better understand and address health disparities,” said Evelinn Borrayo, PhD, associate director of research at the Latino Research and Policy Center (LRPC) of ColoradoSPH and Director for Community Outreach and Engagement at the CU Cancer Center. “This consortium is about the inclusion of communities that historically tend to be left behind.” Borrayo and Spero Manson, PhD, director of the Centers for American Indian and Alaska Native Health (CAIANH) at ColoradoSPH, co-direct the North and Midwest Hub of the AIM-AHEAD initiative, a sprawling 15-state area. Both are also members of the AIM-AHEAD Leadership Core.The hub, which is housed within CAIANH and ColoradoSPH, serves a variety of “stakeholders” who can help to develop AI, including Hispanic/Latino community health organizations, tribal epidemiology centers, urban Indian health centers, and more.Addressing the shortfalls of AI and machine learning developmentManson acknowledged that the last decade has brought “an explosion of interest as well as investment” in exploring the promise of AI and machine learning (ML) – which uses algorithms to train computers to perform tasks otherwise assigned to humans – and applying that knowledge to improving healthcare.“There have been substantial areas of achievement in that regard,” Manson said. But he said the work has also revealed “substantial bias” in the algorithms and predictive models as they are applied to “underrepresented and marginalized populations.”He noted, for example, that the data in EHRs may be incomplete because of barriers to care that people face, including socioeconomic status, race and ethnicity, and geography. In that situation, AI and ML don’t correct for these factors because the technology uses the EHR itself to analyze the data and make predictions, Manson said.That’s why deepening the reservoir of data in EHRs and other repositories is imperative for the development of AI and ML, he said.“The idea is to improve healthcare for all citizens, not just those that have benefited narrowly in the past,” he noted.Improving the diversity of AI workforceIn addition, the workforce of scientists working on AI and ML lacks diversity, while the benefits of research in the field have not yet adequately spread to underserved communities, Manson said.The North and Midwest Hub has undertaken several “outreach and engagement” projects to meet the goals of AIM-AHEAD, with ColoradoSPH playing a significant role.For example, two pilot projects aim to build capacity for applying AI and ML to aid communities. In one, Clinic Chat, LLC, a company led by Sheana Bull, PhD, MPH, director of the mHealth Impact Lab at ColoradoSPH, is collaborating with Tepeyac Community Health Center, which provides affordable integrated clinical services in northeast Denver. The initiative, now underway, uses Chatbots to assist American Indian/Alaska Native and Hispanic/Latino people in diagnosing and managing diabetes and cancer.A second project is working toward incorporating AI and ML coursework into the curriculum for students earning ColoradoSPH’s Certificate in Latino Health.“It’s an opportunity to introduce students to how using AI and ML can help us understand and benefit the [Latino] population,” Borrayo said. The idea is to build a workforce with the skills to understand the unique healthcare needs of Latinos and apply AI and ML skills to meet them, she added.“One of the approaches we are also taking is reaching students in the data sciences,” Borrayo said. “We can give those students the background and knowledge about Latino health disparities so they can use those [AI and ML] skills as well.”Building a generation that uses AI to improve healthcareManson also noted that the North and Midwest Hub supports Leadership and Research fellowship programs, which are another component of what he calls “an incremental capacity-building approach” to addressing the goals of AIM-AHEAD.“We’re seeking to build successive generations, from the undergraduate through the doctoral/graduate to the early investigator pipeline, so these individuals move forward to assume positions of leadership in the promotion of AI and ML,” Manson said.Borrayo said that she is most interested in continuing to work toward applying solutions for these and other issues in communities around the region. She pointed to the Clinic Chat project as an example of how AI and ML technology can be used to address practical clinical problems.“I think understanding the data, algorithms and programming is really good for our underrepresented investigators to learn,” she said. “But for our communities, I think the importance lies in the application.How can we benefit communities that are typically left behind or don’t have access to healthcare in the ways most of us do?”For Manson, a key question is how members of American Indian/Alaska Native, Latino, and other communities can “shift” from being “simply consumers and recipients” of work in AI and ML and “become true partners” with clinicians and data specialists in finding ideas that improve healthcare.“The field will be limited in terms of achieving the promise [of AI and ML] until we have that kind of engagement with one another,” Manson said.cuanschutz.edu, 4d ago
Generative AIs are excellent tools for assisting with incident response. By creating workflows that include AI insights to analyze payloads associated with incidents, the mean time to resolve (MTTR) of incidents can be significantly reduced. It's critical to use retrieval augmentation in these scenarios, as it's likely impossible to train a model to account for every possible scenario. When you apply retrieval augmentation to additional external data sources, such as threat intelligence, you gain an automated workflow that is accurate and works to eliminate hallucinations.The Hacker News, 4d ago
...“In two or three weeks’ time, it has exploded. I can’t believe how cool and efficient it is. However, my conversations with you all are protected by attorney-client privilege,” she said of a hypothetical scenario in which her education law firm, Fagen Friedman & Fulfrost, might represent attendees. “And when you turn on [an audio recording], there are pop-ups, so I notice and I say, ‘Hey, this is actually a confidential conversation, I don’t think we can have Zoom recording it without [permission].’ The person who holds that privilege is the school district, but then, are you the person to waive that privilege? I don’t know. It’s a little dicey … Yes, the note-taking apps are cool, but notify the person. Get their consent.”Shipley said a wide range of technology tools now being adopted by schools have privacy implications, from license plate readers to security systems with facial recognition, but she believes the biggest emerging shift involves parental consent for open AI tools. She said legal exceptions in the Family Educational Rights and Privacy Act (FERPA) allow teachers to use educational software without parental permission as long as it has a legitimate educational interest and limits the resharing of information. However, GenAI tools may exceed these exceptions, particularly for students under 13, depending on whether the tools are from an open or closed environment and where their data goes.Shipley used the example of the state of California piloting, through a handful of districts, an emotionally intelligent chatbot that high schoolers could access on their phones. Who is on the receiving end of personal messages sent by students? Who is responsible if a student sends messages about self-harm? Who is liable for how the chatbot responds? It is a district’s responsibility to sort out these questions before exposing students and families to such tools.GovTech, 4d ago
There’s been a lot of talk about AGI lately—artificial general intelligence—the much-coveted AI development goal that every company in Silicon Valley is currently racing to achieve. AGI refers to a hypothetical point in the future when AI algorithms will be able to do most of the jobs that humans currently do. According to this theory of events, the emergence of AGI will bring about fundamental changes in society—potentially ushering in a “post-work” world, wherein humans can sit around enjoying themselves all day while robots do most of the heavy lifting. If you believe the headlines, OpenAI’s recent palace intrigue may have been partially inspired by a breakthrough in AGI—the so-called “Q” program—which sources close to the startup claim was responsible for the dramatic power struggle.Gizmodo, 4d ago

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Data is what trains generative AI models. To get the results most aligned to the business outcomes you’re hoping to gain, quality and governed data is the key component. The adage “garbage in, garbage out” applies here. If you have the right data sets that you want to use to train a model or gain insights, but the quality is poor, then you’re still going to end up with a bad result. Poor-quality data can lead to problems like inaccurate recommendations and irrelevant guidance. Generative AI holds immense promise for potentially transforming numerous industries. However, rushing into generative AI without a robust data strategy can lead to costly mistakes and delays. Data quality and context are the linchpins of success. Building strong data foundations and refining AI models iteratively are essential. A thoughtful approach, rooted in data, will ensure that organizations harness the full potential of generative AI, driving meaningful business outcomes.”...insideBIGDATA, 11d ago
Certainly these industry developments deserve a closer look than what lobbyists, congressional staff, the Securities and Exchange Commission and the Municipal Securities Rulemaking Board (MSRB) appear to have given them to date. It’s too soon to know whether the new GPT-4 and even-newer Claude2 AI models will scrape financial data (and images thereof) with sufficient accuracy and efficiency to equal or exceed the capabilities and efficiency of XBRL. But ultimately that will be far less important than the ability of evolving AI systems to ingest all this data — including decision-useful information that is not presented in basic annual financial statements, such as the footnotes and supplemental information, interim unaudited financial reports and budget documents — into a comprehensive database to then be sliced and diced in hundreds of different ways and packaged for myriad users as private goods, not public goods.Thus, the regulators now need to formulate forward-looking terms of use for how data from reports they receive will be employed and converted commercially to prevent appropriation of public information by private parties. As in hockey, they need to skate to where the puck is going.This new rival information technology may not be welcome news for companies that have laid down cash to produce conversion systems and hype the benefits of XBRL as the immediately obvious and only way to comply with the new federal law and anticipated regulatory requirements.The next generation of multimodal AI systems should soon be capable of reading words and numbers from all kinds of plain language financial reports and PDFs both new and old, ingesting the key data, formatting it into databases, calculating customized financial ratios, organizing peer group comparisons and using historical data to formulate the predictive value of key statistics (just like football). AI could easily challenge the wisdom of buying into a modern-day Edsel of governmental fintech. Not that the Edsel was a bad car: If the switching costs of implementing XBRL now and migrating to a different technology later are minuscule, then it’s obviously no big deal and its fans can enjoy their day in the sun.My concerns here could still be a false alarm, like a boy crying wolf. However, if myopic conversions to the less-flexible early-bird software “solutions” for FDTA are costly and time consuming, then a wait-and-see approach at both the regulatory and the local level may be wiser. This all reminds me of the early 1980s, when expensive “integrated financial management systems” operating on mainframe computers were procured by midsize municipalities, only to soon discover quite unhappily that microcomputers, cheaper software and ancillary data storage systems had swiftly leapfrogged that way of doing business and they had foolishly sunk capital into what quickly became “legacy” systems.Governing, 20d ago
With foundation models, there’s actually a weird incentive structure that changes where people might actually be de-incentivized to update. So with software, oftentimes when you have an update, it fixes some bugs and it improves system functionality. When it comes to safety fixes for foundation models, oftentimes it has to do with reducing system functionality, like putting on a filter that says, “Well, now you can’t produce this class of images. Now, you can’t do this kind of function with the system,” so it’s hard, I don’t know if there’s good information on how this has actually panned out now. Are we seeing lower uptake rates with updates for AI systems? I don’t know, but there might be something weird with incentive structures going on too, where if updates basically equate to reducing system functionality in certain ways, people might be less likely to actually take them on board.alignmentforum.org, 8d ago