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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, 14h ago
new AI is increasingly becoming intertwined with our work and lives, and 34% already agree that AI is a useful addition to their coaching and learning and development programme. While the younger generation might be more adaptable to this change, everyone must be trained for this pivotal shift in the workplace. In the next year, organisations must place upskilling at the centre of their learning and development priorities to ensure that everyone in the workplace is ready to use AI effectively.theHRDIRECTOR, 17h ago
new With regard to data, hospitals should make strides in better structuring and standardizing data annotation to provide less biased medical treatments and recommendations. Hospitals, AI developers, and the government should work closely to ensure safe and responsible technology is used. If the government establishes an AI oversight committee, medical AI tools can be better regulated—especially in cases where algorithms are updated (thus requiring new regulatory policies).Montreal AI Ethics Institute, 1d ago
new The chatbot's ability to accurately interpret and contextually apply scientific information represents a significant advancement in AI technology. By integrating a curated set of scientific publications, Yager's AI model ensures that the chatbot's responses are not only relevant but also deeply rooted in the actual scientific discourse. This level of precision and reliability is what sets it apart from other general-purpose AI tools, making it a valuable asset in the scientific community for research and development.unite.ai, 1d ago
new ...“One thing I’d like to make clear is that climate change is real. It’s serious, and it deserves urgent attention to both mitigation and adaptation,” Pielke said. “But I’ve come to see, across my career, that the importance of climate change is held up by many people as a reason for why we can abandon scientific integrity. This talk is about climate and scientific integrity, how we maintain it, and how we use it in decision-making. Reasonable people can disagree about policies and different directions that we want to go, but none of us are going to benefit if we can’t take expertise and bring it to decision-making to ground policymaking in the best available knowledge. Overall, climate science and policy have a narrative problem.”...Science Matters, 1d ago

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new ...“Post-Covid, countries and companies alike have realised that when it comes to pandemics, we’re all fighting the same fight, and we can’t do it in isolation. Wider sharing of genomic pathogen data will strengthen global biosurveillance, so scientists and officials can respond to potential threats while they are still localised and control outbreaks,” comments Ward. “Collaboration must also extend to non-healthcare bodies, such as government departments and private organisations in the agricultural space, like the UK’s Department for Environment, Food & Rural Affairs (DEFRA). These bodies play a critical role in disease surveillance considering that many pandemics have zoonotic origins. For example, more than 16 strains of bird flu have been identified in the UK, but only four are monitored extensively. Governments could vastly expand the genomic characterisation and surveillance of these pathogens if there was greater resourcing and inclusion of agricultural bodies in pandemic preparedness strategies.”...www.labbulletin.com, 2d ago
new I envision 2024 as a transformative year where the realms of Cybersecurity and Artificial Intelligence will increasingly intersect, reshaping the landscape of digital security. The adoption of AI-driven security products and services will rise significantly, leveraging machine learning algorithms to detect and alert against cyber threats in real-time. This marks a pivotal shift from traditional, reactive cybersecurity measures to more proactive, predictive models. However, AI will largely remain a co-pilot to Security Teams, not yet advanced enough to fully automate complex security tasks. I also anticipate a surge in Zero Day attacks and more sophisticated methods from Threat Actors, who are increasingly utilizing AI. This highlights the need for robust AI governance frameworks in organizations to ensure responsible and effective use of AI in cybersecurity, balancing technological advancements with ethical considerations.Thinkers360 | World’s First Open Platform For Thought Leaders, 2d ago
new The cautious yet optimistic adoption of these technologies by cities like Boston and states like New Jersey and California signals a significant shift in the public-sector landscape.The journey from skepticism to the beginnings of strategic implementation reflects a growing recognition of the transformative potential of AI for public good. From enhancing public engagement through sentiment analysis and accessibility to optimizing government operations and cybersecurity, generative AI is not just an auxiliary tool but a catalyst for a more efficient, inclusive and responsive government.However, this journey is not without its challenges. The need for transparent and accountable technologies, responsible usage, constant vigilance against potential misuse, and the importance of maintaining a human-centric approach in policymaking are reminders that technology is a tool to augment human capabilities, not replace them.With responsible experimentation and a commitment to continuous learning, governments can harness the power of generative AI to reshape how they deliver public services. The future of governance is being rewritten, and it's up to us to ensure that this story is one of progress, inclusivity and enhanced public welfare.Beth Simone Noveck is a professor at Northeastern University, where she directs the Burnes Center for Social Change and its partner projects, the GovLab and InnovateUS. She is core faculty at the Institute for Experiential AI. Beth also serves as chief innovation officer for the state of New Jersey. Beth’s work focuses on using AI to reimagine participatory democracy and strengthen governance, and she has spent her career helping institutions incorporate more participatory and open ways of working.GovTech, 2d ago

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In recognition of the transformative positive potential of AI, and as part of ensuring wider international cooperation on AI, we resolve to sustain an inclusive global dialogue that engages existing international fora and other relevant initiatives and contributes in an open manner to broader international discussions, and to continue research on frontier AI safety to ensure that the benefits of the technology can be harnessed responsibly for good and for all. We look forward to meeting again in 2024.lesswrong.com, 26d ago
What is potentially most challenging in recruiting “AI talent” is identifying the actual skills, capacities, and expertise needed to implement the EO’s many angles. While there is a need, of course, for technological talent, much of what the EO calls for, particularly in the area of protecting rights and ensuring safety, requires interdisciplinary expertise. What the EO requires is the creation of new knowledge about how to govern—indeed, what the role of government is in an increasingly data-centric and AI-mediated environment. These are questions for teams with a sociotechnical lens, requiring expertise in a range of disciplines, including legal scholarship, the social and behavioral sciences, computer and data science, and often, specific field knowledge—health and human services, the criminal legal system, financial markets and consumer financial protection, and so on. Such skills will especially be key for the second pillar of the administration’s talent surge—the growth in regulatory and enforcement capacity needed to keep watch over the powerful AI companies. It’s also critical to ensure that these teams are built with attention to equity at the center. Given the broad empirical base that demonstrates the disproportionate harms of AI systems to historically marginalized groups, and the President’s declared commitment to advancing racial equity across the federal government, equity in both hiring and as a focus of implementation must be a top priority of all aspects of EO implementation.Brookings, 18d ago
...“This very useful guide represents the peer-reviewed work of AI experts from over 20 international law enforcement and intelligence agencies," said John Riggi, AHA’s national advisor for cybersecurity and risk. "AI clearly represents novel security and privacy risks, which may not be fully understood by developers and users of AI systems, such as the consequences of corrupted or harmful outputs due to ‘adversarial machine learning.’ As indicated in the guide, the best way to mitigate the emerging threats and risks related to the rapid expansion of AI in health care is to ensure that the developers of AI technology closely follow the principles of ‘secure by design’ and work closely with end users in the deployment and management of AI systems. It is also recommended that health care organizations form multidisciplinary AI governance and risk committees to identify, assess and manage risk related to AI technology at acquisition stages and throughout the life-cycle of the technology. The NIST AI Risk Management Framework is another useful resource to supplement the above guide.”...American Hospital Association | AHA News, 5d ago
The workplace has drastically changed in recent years. The hybrid work environment has introduced new obstacles for managers: learning how to manage teams amidst asynchronous communication and less face-to-face collaboration. It’s often up to managers to learn how to coach, develop and lead high-performing teams. In hybrid environments, this pressure and complexity multiplies. They find it more difficult to connect with individual employees, provide meaningful and effective feedback, and have the difficult conversations that are sometimes necessary to reach team objectives. This not only frustrates managers, but also the employees that work with them. In one survey, 82% of U.S.-based employees reported that having a bad manager might lead them to quit their job. With hybrid and remote environments here to stay, it’s important to ensure managers can leverage modern technology tools that allow them to hone their management style and skills. For example, an AI-powered conversations tool can give managers the chance to test their approach to difficult conversations (e.g., poor performance) with a direct report and receive feedback in real-time to improve — so they are better prepared to navigate the nuances of remote work before they happen. In face of the reality of work today, AI-backed workplace technology has the potential to transform retention efforts, solve the soft skills gaps and increase managers’ potential. No matter the industry, business leaders adopting AI-infused work and learning tools will be one step ahead of the rest.Training Industry, 17d ago
On October 30, 2023, the White House issued an Executive Order focusing on safe, secure and trustworthy AI and laying out a national policy on AI. In stark contrast to the EU, which through the soon to be enacted AI Act is focused primarily on regulating uses of AI that are unacceptable or high risk, the Executive Order focuses on responsible use of AI as well as developers, the data they use and the tools they create. The goal is to ensure that AI systems used by government and the private sector are safe, secure, and trustworthy. The Executive Order seeks to enhance federal government use and deployment of AI, including to improve cybersecurity and U.S. defenses, and to promote innovation and competition to allow the U.S. to maintain its position as a global leader on AI issues. It also emphasizes the importance of protections for various groups including consumers, patients, students, workers and kids.Government Contracts & Investigations Blog, 25d ago
Clear communication about the benefits and limitations of AI can help mitigate fears about job loss or over-reliance on technology, fostering acceptance and adoption of AI tools. Additionally, involving stakeholders in the AI transformation process can ensure that the technology is used in a way that meets their needs and preferences, leading to improved user satisfaction and potentially higher engagement with scholarly content.Silverchair, 12d ago

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new The Medprompt study not only reshapes our understanding of LLMs in specialized sectors like medicine but also highlights the efficacy of intelligent prompting as a viable alternative to extensive model training. These insights lay the groundwork for more effective and efficient utilization of LLMs in various domains, broadening their impact in both specialized and everyday applications. Simply put, the power is often in the prompt, And it's critical that we understand the "dialogue" that we leverage with LLMs to drive optimal results.Psychology Today, 2d ago
new Analyzing data in motion, as opposed to traditional scanning of known databases, enables Flow’s GenAI DLP to discover shadow data and proactively identify anomalies in real-time, regardless of where the data is located. For data-centric organizations this capability is critical to prevent violations and breaches that could lead to fines and be damaging to their reputation. In testing, Flow’s GenAI DLP uncovered undetected data leakages despite seemingly robust infrastructure protection. In a test focusing on healthcare organizations where GenAI was used to classify patient data to gain insights into disease patterns and treatment effectiveness, Flow’s GenAI DLP quickly identified sensitive PHI data at risk that would have led to a HIPAA violation if it had continued to go unnoticed. In another test for telecom providers, GenAI was used to optimize customer services by analyzing chatbot interactions for potential risk, and once again, Flow’s GenAI DLP identified sensitive financial data leaks, thereby avoiding the potential repercussions.CoinGenius, 2d ago
new An important component of that program was a shift away from what Edinger called “suggestion box culture,” empowering staff to make process improvements on their own. The approach was successful in Denver, and while Edinger said it will not be identical for OIT, he wants to use employee expertise to hone government service delivery.After only a week in the job, he is still focused on learning as much as possible about his new agency. This involves asking questions about existing processes and goals so that his future work can help align the agency need with the goals of Gov. Jared Polis. Specifically, the governor’s top five statewide priorities include energy, health, crime prevention, land use and tax reform.“When I made the leap from a city like Denver, the capital city, to the actual capital, then you know that the challenges change a little bit,” he said, highlighting not just the difference in scale but also the unique needs of different parts of the state. For example, Denver is composed of 78 unique neighborhoods, but Edinger said the municipality makes up less than 1 percent of the state geographically.GovTech, 2d ago
new KAREN HAO: In general, including the OpenAI-Anthropic split there have emerged kind of two major camps but also some sub-camps: So we'll review all of them, but the, but there's kind of two philosophies that exist within OpenAI and also the general AI community around how do you actually build beneficial AGI, and one of those camps is sort of in the most extreme version is the techno-optimist camp of we get to beneficial AGI by releasing things quickly, by releasing them iteratively so people become more familiar with the technology so institutions can evolve and adapt instead of, you know, withholding it until suddenly capabilities become extremely dramatic and then releasing it onto the world. And also that we build it more beneficially by commercializing it so that we have the money to continue doing safety research, what's called safety research. The other major camp is basically sort of like the, the existential-risk camp again, kind of the extreme version of this camp, which basically says we, in order to get to beneficial AGI, we don't want to release it until we know for sure that we've like done all of the possible testing. We've like tweaked it and tuned it and tried to foresee as much as possible how this model is going to affect the world. And only then do we maybe start releasing it and making sure that it it it only produces positive outcomes. I think both of these, these are both very, very extreme in the sense that they've almost become quasi-religious ideologies around the development of AGI and like how to actually approach it. And there's sort of many, you, you could say that each camp over the years has sort of cherry-picked examples to support why they are correct in their argument. But when the OpenAI-Anthropic split happened, it was exactly this disagreement. So Sam Altman and Greg Brockman, they were very much, we need to continue releasing and get people used to it, get more money in so that we can continue doing this research. And Dario Amodei and his sister Daniela Amodei who was also at OpenAI, they were very much at the camp of no we should, we should be doing as much as possible to try and tweak and tune this model before it goes out into the world. And that that was ultimately sort of the clash that happened then and has continued to happen ever since.Big Think, 2d ago
new ...“In coming years, the citizen will use the Internet to build a relationship with government that is personal, custom-built for each user with features that are accessible. Digital government will be easy to use, consistent in its appearance and functionality, offer a complete selection of services that are unified across agencies, and available around the clock. Citizens will be aware of their rights to privacy and able to control governmental use of their personal information.”Current NASCIO President and Tennessee CIO Stephanie Dedmon set out to assess progress against the goals outlined in that paper, publishing a companion report this year. It points to a catalog of citizen-facing digital accomplishments recognized by NASCIO in the intervening years, including Tennessee’s MyTN App, which offers users more than 60 services from many different departments accessible with single sign-on. The updated report also includes evidence of how the personalized, user-focused, cyber- and privacy-aware aspirations have matured in the real world, creating new challenges along the way. The larger goals of effective technology that is focused on the user, however, remain largely the same.A recent report from KPMG, Tomorrow’s Government Today, surveyed residents and government leaders at the state and federal levels, acknowledging some of the challenges ahead for CIOs. Government executives view deploying new technology as a challenge — 72 percent say it will be “moderately difficult” while almost 25 percent say it will be “very difficult.”...GovTech, 2d ago
new Sameer Hajarnis of OneSpan asks the tough questions you need to be asking of your e-signature provider, and examines why they matter. Up until recently, the government didn’t operate the same way banks or hospitals do. In fact, they have been a little slower than commercial entities to adopt new technologies; however, budget pressure is changing that. When you think about any type of government process – storing important records, rural development, food services, public services, etc. – they all, at one point or another, used to require paper documents and some form of handwritten signatures. The adoption of digitized workflows accelerated when in-person work halted due to the COVID-19 pandemic. During this time, most traditional, paper-based signing processes were replaced with modernized e-signatures. Today, the government goes as far as turning to digital identity verification (ID) and remote online notarization (RON) to optimize higher-risk digital processes in the context of remote operations. For example, in March 2020, the Michigan Department of Technology, Management, and Budget’s (DTMB) Records Management Services deployed OneSpan Sign’s e-signature solution as an interdepartmental shared service to route documents for signature. To date, over 1,000 users have been trained to use OneSpan Sign, with roughly 90 percent of basic use cases taking less than 30 minutes of training. With this shift to digitized processes and increased use of e-signatures between agencies, security, and compliance must be top of mind. The government is set apart from other industries– their processes have a lot more oversight from numerous regulatory bodies. Government agencies also deal with the most sensitive and significant types of transactions, so it’s important that they remain secure throughout their entire lifecycle.Best Identity Access Management (IAM) Software, Tools, Vendors, Solutions, & Services, 2d ago

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...“It is also very timely to see the scope of what is considered AI, which expands into several definitions of machine learning. This is important in the guideline, as the scope of AI is very broad, and the guideline’s scope definition is clear and transparent. I hope to see more governments around the world join in with endorsing and applying these guidelines, which might eventually lead to some form of regulation to ensure that accountability will be enforced as well. The four key areas show that not only is secure by design important, but also secure development, secure deployment and secure operations and maintenance are all critical factors when it comes to AI systems.”...Professional Security, 7d ago
It is also very timely to see the scope of what is considered AI, which expands into several definitions of machine learning. This is important in the guideline, as the scope of AI is very broad, and the guideline’s scope definition is clear and transparent. I hope to see more governments around the world join in with endorsing and applying these guidelines, which might eventually lead to some form of regulation to ensure that accountability will be enforced as well. The four key areas show that not only is secure by design important, but also secure development, secure deployment and secure operations and maintenance are all critical factors when it comes to AI Systems.”...Global Security Mag Online, 7d ago
Citing a January survey from Intelligent.com that noted more than 30 percent of students are already using AI tools like ChatGPT in their course assignments, the news release said most discussions centering on AI focus mainly on appropriate classroom use cases. It said the AI playbook aims to give colleges and universities additional information on using AI for student support and increasing efficiency on campus in order to allow faculty to devote more time to instruction.“The strategies and policies that increase student success aren’t a mystery — but scaling those strategies and policies is a challenge for many institutions because of resource constraints,” Vistasp Karbhari, a past president of the University of Texas at Arlington, said in a public statement. “As AI continues to grow, it has the potential to begin leveling the playing field across higher education; however, we must ensure that all institutions have the technology, expertise and financial resources to access and implement technological advances such as generative AI. Only then will we be able to unleash the true scalability of these tools to address the inequities of access and attainment.”The equity paper also noted the establishment of a new advisory council, the Complete College America Council on Equitable AI in Higher Education, to work with large tech companies developing new AI tools, as well as with accreditation agencies and the state and federal government, to ensure the results are equitable. It will also host discussions about AI adoption that represent “those who have been historically excluded from conversations about postsecondary policy, product and funding decisions.”...GovTech, 13d ago

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While much of the commentary on the drama at OpenAI has focused on tensions in its governance structure, few have acknowledged that OpenAI’s more-than-generous funding by venture capitalists (VCs) likely buffered the consequences for Altman and his team and made it possible for him to emerge unscathed in the end. The situation reveals the double standards in VC funding that exist for diverse tech founders, especially people of color and women, who face scrutiny at all stages of capital development and would not have survived a public termination. Reading between the lines, the OpenAI saga substantiates the ongoing claims that VCs still maintain steady confidence in founders that represent the status quo, who are usually white and male, and are slow to fund and perhaps save startups led by people of color and women.Tech Policy Press, 3d ago
The press release also points out that retailers are compelled to adapt to shifting consumer demands and heightened expectations in today’s rapidly changing retail landscape, marked by evolving trends and advanced deep learning algorithms. It says that to stay ahead and not just react to short-term market trends, integrating technology, particularly generative AI, is essential for maintaining this agility. It also mentions that currently, over a quarter of retailers have incorporated generative AI into their operations, with an additional thirteen percent planning to embrace this technology within the coming year.CoinGenius, 3d ago
It’s imperative for policymakers, technologists, and society as a whole to engage in open dialogues about these challenges and work towards creating a framework that ensures AI is used responsibly and equitably.Robotics & Automation News, 3d ago
As Webster concludes, ultimately, humans should be accountable for AI. “While some people talk about giving AI systems legal rights, accountability must rest with those who make decisions about AI use and deployment. It's the responsibility of humans to ensure that AI systems are governed correctly, that biases are addressed, and that ethical considerations are upheld. Having strong data and AI governance practices in place helps uphold accountability by guiding the responsible use of AI.”...technologymagazine.com, 3d ago
In conclusion, Quantum AI offers invaluable insights into the role of cryptocurrencies in debt management. Its ability to analyze vast amounts of data, predict market trends, and enhance decision-making processes can empower debt managers to navigate the complexities of cryptocurrency-based debt. While challenges and risks exist, the potential opportunities for Quantum AI and cryptocurrencies in debt management are vast. As the technology continues to evolve, it is crucial to explore its implications and foster responsible integration to ensure a secure and efficient debt management landscape in the future.Techiexpert.com, 3d ago
Microsoft is committed to investing in robust artificial intelligence safety and security safeguards. Microsoft is also committed to ensuring that AI is secure. This involves making certain that the infrastructure of Microsoft, as well as the larger community of AI developers and customers, adheres to the most responsible standards in the field of artificial intelligence. In addition to working together with the United Kingdom Government and the AI Safety Institute to continue research and development in this area, the company will incorporate responsible AI concepts into its Partner Pledge, which will be distributed to its 25,000 partners in the United Kingdom.CoinGenius, 3d ago

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From cultural competencies to organizational processes, we’ve explored various aspects that contribute to ensuring the safety and performance of machine learning systems. As we’ve seen, forecasting failure modes, meticulous model risk management, and vigilant monitoring are key pillars in this journey. Building robust models, maintaining comprehensive inventories, and embracing change management are crucial steps toward responsible AI. These foundational elements not only ensure the safety and performance of the ML systems but also the trust of their users and stakeholders.opendatascience.com, 24d ago
This unique regulatory framework stems from concerns surrounding the potential risks and security threats associated with AI technology. BNN noted that through these assessments, the Chinese government aims to ensure compliance with established standards and safeguard public interests.EconoTimes, 28d ago
As the world collectively grapples with the implications of the EU AI Act and its impact on AI deployment, the role of the UK in the WRC is paramount. It offers the opportunity to ensure that the voice of UK industries is heard and considered in global radio spectrum allocation decisions. This involvement can significantly affect the ability of companies to harness the full potential of AI technology and to meet the requirements of a rapidly evolving regulatory landscape.techuk.org, 11d ago
In conclusion, AI and data privacy compliance go hand in hand in the field of eDiscovery. The significance of AI in streamlining eDiscovery processes cannot be overstated, while data privacy has become a key priority for organizations. By leveraging AI, organizations can enhance the speed and accuracy of eDiscovery, reduce costs, and improve efficiency. Simultaneously, by prioritizing data privacy, organizations can ensure compliance with regulations, protect sensitive information, and build trust. As both AI and data privacy continue to evolve, organizations must stay abreast of the latest trends, challenges, and best practices to effectively navigate the complex landscape of eDiscovery.Techiexpert.com, 9d ago
Generative AI is a source of concern and excitement in the Arts. On one hand, AI offers new tools, opportunities, and sources of inspiration for creative practice and exploration. On the other hand, there are ethical concerns about the lack of attribution and IP recognition in AI training sets, concerns about the deskilling of creative work, and concerns about bias in generative AI. We can proactively work to ensure that the artist remains key to the creative process through eXplainable AI and the design of user interfaces that embrace real-time interaction with the AI model. Indeed, working with artists to design and implement eXplainable AI systems will help mitigate concerns about the impact of AI on creativity.Montreal AI Ethics Institute, 8d ago
...“Like any new technology, AI has the potential to be an enormous force for good, but it also presents serious challenges and threats. This is especially true during election cycles. The election forum marks one year until the 2024 presidential election, so time is of the essence in addressing concerns about the impact AI poses on elections. In terms of regulation, we cannot be too careful: the threat of deepfakes, misinformation and bias is present as AI models continue to rapidly advance and become more widespread. Tech leaders must work with government officials to ensure proper regulation and education is in place as we move into an election year.”...insideBIGDATA, 23d ago

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As organizations turn to AI and automation to transform data and enrich information across systems, leaders must ensure that they do so securely. By using tools grounded in security and instilling a company-wide culture of cybersecurity, enterprises can embrace automation on every team throughout the organization with confidence.DATAVERSITY, 3d ago
The development of commercial mixed reality platforms and the quick advancement of 3D graphics technology have made the creation of high-quality 3D scenes one of the main challenges in computer vision. This calls for the capacity to convert any input text, RGB, and RGBD pictures, for example, into a variety of realistic and varied 3D scenarios. Although attempts have been made to construct 3D objects and sceneries directly using the diffusion model in voxel, point cloud, and implicit neural representation, the results have shown limited diversity and quality due to the restrictions in training data based on 3D scans. Using a pre-trained picture-generating diffusion model, like Stable Diffusion, to generate a variety of excellent 3D sceneries is one approach to address the problem. With data-driven knowledge gained from the massive training set, such a huge model produces believable images but cannot ensure multi-view consistency among the images it generates.MarkTechPost, 3d ago
Just like technology, policies can quickly become outdated. They must be revised, replaced, or even removed. Although this isn’t the most exciting area of CISO work, creating clear policies that are proactive and empowering, not restrictive, can ensure employees gain the benefits of new technology without the risk. For example, generative AI (GenAI) can offer enormous benefits for a company — improved productivity, efficiency, and creativity. But without appropriate guardrails to govern how the technology is used and what data (or code) can be input into GenAI models, a company could be at extreme risk for compromise. Creating a formal policy with input from stakeholders throughout the company enables employee use of the technology while reducing risk.securitymagazine.com, 3d ago

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As AI continues to advance, it is critical to ensure that its development and deployment align with ethical principles. By promoting ethical AI practices, organizations can mitigate potential risks and biases, build trust with users, and ensure that AI is used for the betterment of society. Upskilling AI talent is not just a necessity but a moral imperative to shape a future where AI is used ethically and responsibly. While the future of AI may fuel and be fueled by technological advancements, it is driving the need to cultivate exceptional minds. By investing in talent development, fostering collaboration, and prioritizing ethical considerations, AI is inspiring a catalyst for progress, exceptional talent, and a brighter future.RTInsights, 3d ago
Goal: Develop a news website filled with stories, information, and resources related to the development of artificial intelligence in society. Cover specific stories related to the industry and of widespread interest (e.g: Adobe’s Firefly payouts, start of the Midjourney, proliferation of undress and deepfake apps). Provide valuable resources (e.g: list of experts on AI, book lists, and pre-made letters/comments to USCO and Congress). The goal is to spread via social media and rank in search engines while sparking group actions to ensure a narrative of ethical and safe AI is prominent in everybody’s eyes.alignmentforum.org, 3d ago
Oregon Gov. Tina Kotek has signed an executive order establishing a new advisory council to develop a plan for ethical, transparent and inclusive AI use in Oregon government decision-making.Gov. Kotek signed the order Nov. 28, following in the footsteps of at least a half a dozen other states where governors have used their executive power to mandate some kind of AI action plan.“Artificial intelligence is an important new frontier, bringing the potential for substantial benefits to our society, as well as risks we must prepare for,” Kotek said. “This rapidly developing technological landscape leads to questions that we must take head on, including concerns regarding ethics, privacy, equity, security and social change. It has never been more essential to ensure the safe and beneficial use of artificial intelligence — and I look forward to seeing the work this council produces. We want to continue to foster an environment for innovation while also protecting individual and civil rights.”...GovTech, 3d ago
Jim Davis: I do not see pushback from the existing workforce. There is generally high interest in engaging, as Dan says. I will add, though, that workers need to be aware, see leadership interest, and have access to the capabilities. We still see the gap widening between the larger companies that have the resources and those that don’t, and we still don’t see that manufacturing is viewed as a particularly high-tech profession from a future workforce standpoint. I did want to mention there can be workforce concerns with privacy and personal intrusion if AI is used to monitor individuals. I really like this new term of “co-piloting” that has emerged. It better communicates the value of using AI to support the worker to do his or her job better.The Manufacturing Leadership Council, 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
Generative AI can offer useful tools across the recruiting process, as long as organizations are careful to make sure bias hasn’t been baked into the technology they’re using. For instance, there are models that screen candidates for certain qualifications at the beginning of the hiring process. As well-intentioned as these models might be, they can discriminate against candidates from minoritized groups if the underlying data the models have been trained on isn’t representative enough. As concern about bias in AI gains wider attention, new platforms are being designed specifically to be more inclusive. Chandra Montgomery, my Lindauer colleague and a leader in advancing equity in talent management, advises clients on tools and resources that can help mitigate bias in technology. One example is Latimer, a large language model trained on data reflective of the experiences of people of color. It’s important to note that, in May, the Equal Employment Opportunity Commission declared that employers can be held liable if their use of AI results in the violation of non-discrimination laws – such as Title VII of the 1964 Civil Rights Act. When considering AI vendors for parts of their recruiting or hiring process, organizations must look carefully at every aspect of the design of the technology. For example, ask for information about where the vendor sourced the data to build and train the program and who beta tested the tool’s performance. Then, try to audit for unintended consequences or side effects to determine whether the tool may be screening out some individuals you want to be sure are screened in.Hunt Scanlon Media, 3d ago

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The Authors Guild believes that it is crucial for our culture and the future of democracy to ensure that our literary arts remain vibrant and diverse. To protect the future of writing, we are actively lobbying for sensible policies and regulations governing the development and use of generative AI. At the same time, we are educating government officials, legislators, authors, and the public about the potential impacts of generative AI, and equipping our members with the knowledge and tools they need to navigate this new landscape.”...Good e-Reader, 3d ago
Organizations will need to implement systems and safeguards to ensure that red teaming exercises are useful, he said. They will need to implement a continuous process for testing AI security and safety through a product’s life cycle. Fowler said the EO’s emphasis on red teaming and penetration testing is relevant to any discussion about AI and security.Security Boulevard, 4d ago
Ethical considerations: Ethical concerns exist around using AI-generated code in critical applications, such as healthcare or finance. Users must carefully evaluate the generated code and ensure it meets the required standards and regulations.Zephyrnet, 4d ago
Innovations using AI in the field of clinical trials are here to stay. But, with great power comes great responsibilities. Hence, there is a need for robust safeguards to protect the security of personal data. While the mission to have more efficient clinical trials and more inclusive participation is laudable, the advocates, the author included, are fully aware of the risks of unregulated use of AI and are working hard to ensure AI innovation follows regulations and complements human expertise. In short, we need to ensure the responsible and ethical use of AI, irrespective of whether regulation is in place or still in progress.Fast Company, 4d ago
Azam Sahir, Chief Product Officer at MongoDB, reiterated the value that this partnership holds for its customers. "Customers of all sizes from startups to enterprises tell us they want to use generative AI to build next-generation applications and future-proof their businesses," said Azam. "Many customers express concern about ensuring the accuracy of AI-powered systems' outputs whilst also protecting their proprietary data. We're easing this process for our joint-AWS customers with the integration of MongoDB Atlas Vector Search and Amazon Bedrock. This will enable them to use various foundation models hosted in their AWS environments to build generative AI applications, so they can securely use proprietary data to improve accuracy and provide enhanced end-user experiences."...ChannelLife Australia, 4d ago
Moreover, they have adopted product development strategies by investing heavily in R&D activities to introduce cutting-edge features and functionalities in their systems, staying ahead in the competitive landscape. Further, marketing strategies are implemented by market players to raise awareness about the benefits of multi camera vision inspection systems. This includes targeted campaigns and showcasing successful case studies to potential customers. Furthermore, manufacturers develop go-to-market strategies to ensure their products are readily available to the right audience. In addition, key players are leveraging digital strategies to reach customers through online channels, including websites, social media, and e-commerce platforms. Moreover, firms are adopting consumer strategies to understand customer needs and preferences. A consumer-centric approach helps in tailoring products and services to meet specific demands. In addition, effective segmentation allows companies to target specific industries and niches with tailored solutions. This strategy assists in maximizing market penetration.alliedmarketresearch.com, 4d ago

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Having been trained on geospatial information such as satellite images, IBM has found that its AI models can address climate change by creating knowledge representations from climate-relevant data and as a result, accelerate the discovery of environmental insights and solutions. IBM also states that its models can be fine-tuned and then applied across multiple areas that work to mitigate climate impact.aimagazine.com, 4d ago
Padhle places a strong emphasis on using both data analytics and user feedback to continually enhance its teaching methodologies and content delivery. The Edtech startup recognizes the importance of the student’s experience with the app and actively solicits and values user feedback. Padhle has a dedicated support team that remains vigilant in addressing any concerns or issues raised by users promptly. The commitment to resolving even minor inconveniences underscores the organization’s dedication to ensuring a seamless and effective learning experience for its users. In terms of data analytics, the startup utilizes insights that are derived from user interactions with the platform to identify patterns, preferences, and areas for improvement. This analytical approach allows the Edtech venture to make informed decisions regarding content optimization, feature enhancements, and overall platform usability.CXOToday.com, 4d ago
...“AI has the capacity to impact healthcare delivery in a positive way. There are currently many AI applications specific to radiology that show promise in terms of enhancing workflows and streamlining medical imaging procedures,” said Dr. Chong. “Many of these technologies have been integrated into healthcare systems outside of Canada with favourable results. However, before broadly introducing them to the Canadian healthcare system, it is essential that a national regulatory framework has been developed which includes expert oversight to maximize safety and value.”...Hospital News, 4d ago

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While AI applications have the potential to improve work efficiency, they also introduce new risks and expose sensitive data to external threats. Organizations need to address these challenges to ensure the confidentiality, integrity, and security of their data. Here are some examples of how sensitive data can be exposed to ChatGPT and other cloud- based AI applications:...gbiimpact.com, 5d ago
...“The release of the Guidelines for Secure AI System Development marks a key milestone in our collective commitment—by governments across the world—to ensure the development and deployment of artificial intelligence capabilities that are secure by design,” according to Jen Easterly, CISA director. “As nations and organizations embrace the transformative power of AI, this international collaboration, led by CISA and NCSC, underscores the global dedication to fostering transparency, accountability, and secure practices.”...Industrial Cyber, 6d ago
Programmatic marketing is set to be deeply impacted in the future by ongoing technology breakthroughs such as Artificial Intelligence developments and attempts at preventing ad fraud. AI will have a major effect on transparency, security measures, cost savings for small businesses (SMB’s), plus greater contextual relevance when it comes to marketing operations. To these technological advancements, there are broader goals of safeguarding the open internet while changing advertising practices along with combating hurdles like fraudulent activities in order to ensure safety and openness between all associated parties involved within this process. With an understanding of current trends combined with embracing emerging technologies business can take full advantage of benefits of programmatic marketing going forward.Perth Digital Edge, 24d ago
AI can help government deliver better results for the American people. It can expand agencies’ capacity to regulate, govern, and disburse benefits, and it can cut costs and enhance the security of government systems. However, use of AI can pose risks, such as discrimination and unsafe decisions. To ensure the responsible government deployment of AI and modernize federal AI infrastructure, the President directs the following actions:...ITEdgeNews, 22d ago
Ensuring that the future of AI is employed for maximal benefit will require wide participation. We strongly support a constructive, collaborative, and scientific approach that aims to improve our understanding and builds a rich system of collaborations among AI stakeholders for the responsible development and fielding of AI technologies. Civil society organizations and their members should weigh in on societal influences and aspirations. Governments and corporations can also play important roles. For example, governments should ensure that scientists have sufficient resources to perform research on large-scale models, support interdisciplinary socio-technical research on AI and its wider influences, encourage risk assessment best practices, insightfully regulate applications, and thwart criminal uses of AI. Technology companies should engage in developing means for providing university-based AI researchers with access to corporate AI models, resources, and expertise. They should also be transparent about the AI technologies they develop and share information about their efforts in safety, reliability, fairness, and equity.AAAI, 18d ago
The Executive Order issued by President Biden represents a significant shift in the way AI is regulated in America. For security teams at companies using AI, it presents a range of new challenges and opportunities. AI unlocks tremendous innovation, and it also requires security teams to adapt their systems and processes so they can secure the AI pipelines and protect against AI misconfigurations and vulnerabilities. By understanding the implications of these directives, security teams can ensure that their use of AI is not only secure but also ethical and compliant with the new standards.wiz.io, 12d ago

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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
Foundational Model (FM) providers train models that are general-purpose. These models can be used for many downstream tasks, such as feature extraction or to generate content. Each trained model needs to be benchmarked against many tasks not only to assess its performances but also to compare it with other existing models, to identify areas that needs improvements and finally, to keep track of advancements in the field. Model providers also need to check the presence of any biases to ensure of the quality of the starting dataset and of the correct behavior of their model. Gathering evaluation data is vital for model providers. Furthermore, these data and metrics must be collected to comply with upcoming regulations. ISO 42001, the Biden Administration Executive Order, and EU AI Act develop standards, tools, and tests to help ensure that AI systems are safe, secure, and trustworthy. For example, the EU AI Act is tasked providing information on which datasets are used for training, what compute power is required to run the model, report model results against public/industry-standard benchmarks and share results of internal and external testing.CoinGenius, 4d ago
Understanding the real needs of our students is crucial for universities to provide tailored and effective services. An AI student engagement platform goes beyond connecting with students; it ensures we have our finger on the pulse and truly understand what’s bugging our students! Through on-demand surveys, sentiment analysis and real-time analysis of trending topics and student queries, Cara has highlighted unexpected issues that we would not have identified previously. For example, we removed fees from our featured questions on Cara after the payment deadline. However, when Cara continued to get inquiries about fees it was clear there was a cohort of students in financial difficulties looking for support, so we reinstated fee-related features. Similarly, we found that during the quiet summer period students engaged with Cara more than we expected. We now feature questions related to the main concerns that came up in those questions: support available over the summer and how to get a summer job.THE Campus Learn, Share, Connect, 4d ago
AI71, through strategic partnerships and collaborations, empowers clients to implement its AI models, unlocking access to advanced data reservoirs for superior generative AI performance. More importantly, AI71 will enable decentralized data ownership, allowing clients to retain control of their own data. This offering will set new standards for privacy and security, serving as a differentiator for AI projects where data sovereignty is critical. This is a game-changing option for AI accessibility, particularly for enterprises, large corporations, and foreign government entities keen to ensure that their data remains private.Telecom Review, 4d ago
Chris Probert, Partner, and Head of Capco’s UK Data Practice, said: “Delivering focused, actionable, and effective data strategies is at the heart of what we do. We also ensure that our clients can deliver the best possible outcomes for their customers. 2023 has been a revolutionary year for data and has seen our clients recognise the game-changing nature of generative AI, while also grappling with the associated ethical considerations and implementation challenges. Ensuring effective data governance is key, with AI-related risks identified and mitigated via a control framework.”...capco.com, 4d ago
...“Early public and private AI solutions have yielded significant financial rewards for early adopters,” said Brian Davidson, Congruity360 Chief Executive Officer and Managing Partner. “As the impact of AI projects scale, it is essential that the fuel of AI, aka data, is correctly classified and de-risked. PII and private corporate data must be classified out of AI training models. Congruity360 is uniquely positioned to offer AI a simple, fast, and automated classification engine. Do not ruin the rewards of AI by unknowingly feeding it risk and obsolete data.”...prnewswire.com, 4d ago

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Equity and Civil Rights: The executive order mandates that federal agencies implement measures to ensure the fair and equitable development and use of AI systems, free from discrimination against any individual or group. This entails developing and implementing AI equity assessments and actively working to mitigate bias in AI systems.natlawreview.com, 11d ago
The Department of State stands at a critical juncture where an emerging ecosystem of AI capabilities presents enormous opportunity. This opportunity can allow the Department to leverage AI to achieve breakthroughs of all kinds – in public diplomacy, language translation, management operations, information proliferation and dissemination, task automation, code generation, and others. However, this opportunity will require the Department to take steps to ensure ethical and responsible use. This includes steps to protect the security and privacy of Department data and to avert biased outcomes that pose a risk to our mission and our values.United States Department of State, 25d ago
While Musk’s AI network is undeniably powerful, addressing AI’s ethical use is as crucial as its technical prowess. For instance, Tesla’s autopilot system raises questions about safety and accountability that are yet to be fully resolved. To compete or collaborate in this ecosystem, companies must not only harness data but also cultivate trust through transparent and responsible AI development. As AI evolves, a balance between innovation and regulation will be essential to ensure technologies like Neuralink and autonomous vehicles benefit society at large. Ultimately, the success of AI may not just be in speed or data but in fostering a harmonious coexistence with human values.B2B News Network, 26d ago

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Disclosures are largely qualitative, unstructured, dispersed information sets that could be tedious to address manually, so the Nasdaq platform and others like it can significantly improve reporting efficiency. Especially as companies come under scrutiny for making sustainability claims that are potentially not credible, AI may help ensure reports accurately reflect a company’s efforts.Environment+Energy Leader, 4d ago
HUMAN’s partner, Yieldmo, an ad tech platform that delivers AI-powered creative ad formats and superior campaign performance from proprietary data, needed to ensure a fraud-free marketplace for its advertisers and publishers would continue even as its available supply of ad opportunities rapidly grew. Combining internal protocols with HUMAN’s Programmatic Ad Fraud Defense proactively insulated Yieldmo from fraudulent activity on its platform despite its rapid growth. “Fighting fraud requires more than simple measurement. HUMAN’s focused and unique approach and reporting of IVT is a major reason we originally started our partnership,” said Daniel Contento, SVP of Partnerships and Operations at Yieldmo. Yieldmo’s IVT rate, already among the industry’s lowest at just 1%, declined 90% to just 0.1% after implementing HUMAN. Read the full case study >...HUMAN, 4d ago
We had a scheduled press release to announce our patent-pending Context-based NLP upgrade for December 6, 2022. On November 30, 2022, OpenAI announced ChatGPT. The announcement of ChatGPT changed not only our roadmap but also the world. Initially, we, like everyone else, were racing to understand the power and limits of ChatGPT and understand what that meant for us. We soon realized that our contextual NLP system did not compete with ChatGPT, but could actually enhance the LLM experience. This led to a quick decision to become OpenAI enterprise partners. Since our system started with the idea of understanding and answering questions at a granular level, we were able to combine the “bot conductor” system design and seven years of intent data to upgrade the system to incorporate LLMs.unite.ai, 4d ago
This creates engaging voice and text-based conversational apps, offering users innovative ways to interact with their products. Dialogflow operates on a Google Cloud Platform, its design allows it to facilitate the integration of conversational user interface on projects. Hence, users can easily add chat and voice interactions to apps, websites, devices, and more. While Dialogflow may serve as a good alternative to Chatbase and is useful for basic chatbot building, it is important to note that it has downsides like missing features (Delays, Video, Attachments) and limitations in using conditions, requiring manual coding for certain elements. In addition to this, businesses seeking to debut Dialogflow on their platforms should be aware that it doesn’t provide a live chat integration, which is the most important integration of any chatbot platform. On the bright side, Dialogflow provides robust AI and machine learning features that enable seamless integration with other platforms. Also, it is user-friendly, as even users with little knowledge of AI or ML can work and easily navigate their way around the tool.Coinspeaker, 4d ago
In conclusion, AI is not just the future of procurement; it is already becoming an integral part of it. The benefits are too significant to ignore. However, organisations must navigate the challenges of implementation and integration carefully, ensuring that they have the right technology, data quality, and skilled workforce to make the most of AI. As we move forward, it is clear that AI will continue to transform procurement, driving innovation and efficiency in this critical business function.electronicspecifier.com, 4d ago
NATO’s cyber defense teams and their counterparts in the US have long prepared to defend against nation-state attacks by training in advanced cyber ranges that replicate the real production IT and operational technology environments that that have to defend every day. Security teams are equipped with the same defensive tools, combatting the same tactics, techniques, and procedures implemented in high-profile attacks. Many leading publicly listed companies have followed suit with those best practices, and now, a broad cross section of listed companies need to take on the same best practice of military-grade protections. These best practice environments enable companies to explore and make sure their defenses are as good around key specialty systems, like the billing system that took down the Colonial Pipeline. This ability for companies to rehearse for the unfortunate eventuality that they are hit by a significant cyber event is also helping companies to integrate their financial and disclosure teams right into their incident processes to help them to work the early stages of their materiality determinations in parallel with the incident response teams to help them to make their determinations "without unreasonable delay.”...Global Security Mag Online, 4d ago

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Global institutions have a poor track record when it comes to financial redress. For example, rich countries have fallen billions of dollars short on pledges made to developing countries to finance the cost of climate change mitigation and adaptation. But if we accept that AI benefits and public goods will disproportionately accrue to wealthy nations and that entrenching global inequality any further is problematic, then we have to develop mechanisms to ensure the economic and other benefits generated by AI are more evenly distributed across the world.Tech Policy Press, 17d ago
We have an immense opportunity to enable sustainable change and positively impact patient care. In order to do this, we must mitigate the risks with a steadfast commitment to safe AI practices. We can embark on this journey confidently, adhering to standards and guidance that ensure the safe integration of AI in health care. This would allow health professionals to bridge the gap between cutting-edge technologies and the delivery of high-quality health services.Vector Institute for Artificial Intelligence, 11d ago
Academicians play an important role in AI research and development, directing their research to solve real societal problems. Collaboration with academics helps improve the quality and relevance of AI research, ensuring that research findings can be practically applied. Additionally, civil society, including NGOs and community organizations, provide perspectives on the social impact of AI, helping ensure that AI development is ethical and responsible.Modern Diplomacy, 15d ago
The ability of AI to convert Data into actionable insights can help organizations from Better Efficiency, Customer Service, alignment on company-wide goals, transparency to generating new revenue models. The Power and Scale that AI has for Business and Governments has been proven, and the excitement of Generative AI has taken it to a different level. As organizations use different data sources and datasets to Artificial Intelligence, it’s important to have the right guardrails in place to ensure data quality, governance compliance, and transparency within your AI systems.Analytics Insight, 12d ago
AI ethics still has a long journey ahead, but no one truly knows where we will land when it comes to governance. Many experts argue that ethical AI is essential for a responsible future where we can focus on issues such as social good, sustainability and inclusion. One Forbes article argues that it is “crucial that companies prioritize the implementation of ethical AI practices now as the potentially negative implication of the misuse of AI are becoming increasingly urgent.” Many believe that it is incumbent upon companies and their stakeholders to ensure that internal policies governing AI technology are ethical from the ground up, or rather from the actual design of AI architecture and machine learning algorithms through the applications and usage of the technology.The ChannelPro Network, 17d ago
Another significant cybersecurity risk associated with AI is bias and discrimination. If AI models are trained on biased data, they can perpetuate and amplify existing biases, leading to unfair or discriminatory outcomes. To mitigate this risk, it is crucial to implement bias detection and mitigation strategies. Auditing AI models for bias, and implementing unbiased algorithms will help ensure fair decision-making. Collaborating with experts in ethics and diversity can also provide valuable perspectives on identifying and mitigating biases within AI systems.Cyber Defense Magazine, 27d ago

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The U.S. and China both realize the power of AI and how it can enhance capabilities, such as military capabilities. Yet, with such a technology comes the responsibility determine ethical frameworks, establish robust regulatory measures, and engage in international collaboration to ensure the judicious and ethical deployment of AI for the collective benefit of societies globally. The world has evolved, nations have continually competed, and militaries continue to search for the most robust capabilities. AI is not just a tool that simulates human intelligence but could potentially transform into a weapon system.Modern Diplomacy, 4d ago
The MDIA, established to promote Malta as a hub for innovative technologies, has played a pivotal role in the nation’s digital progress. Acknowledging the rapid evolution of technology, Minister Schembri discussed Malta’s pioneering regulatory system for blockchain-based businesses and its commitment to shaping policies for emerging technologies. He emphasized the government’s strategic approach in adopting AI, emphasizing ethical considerations, transparency, and social responsibility. In conclusion, Minister Schembri reiterated the government’s dedication to technological innovation, emphasizing the importance of education, a robust legal framework, and ethical considerations to foster a thriving ecosystem for the future.AIBC, 4d ago
Another key to your data foundation is integrating data across your data sources for a more complete view of your business. Typically, connecting data across different data sources requires complex extract, transform, and load (ETL) pipelines, which can take hours—if not days—to build. These pipelines also have to be continuously maintained and can be brittle. AWS is investing in a zero-ETL future so you can quickly and easily connect and act on all your data, no matter where it lives. We’re delivering on this vision in a number of ways, including zero-ETL integrations between our most popular data stores. Earlier this year, we brought you our fully managed zero-ETL integration between Amazon Aurora MySQL-Compatible Edition and Amazon Redshift. Within seconds of data being written into Aurora, you can use Amazon Redshift to do near-real-time analytics and ML on petabytes of data. Woolworths, a pioneer in retail who helped build the retail model of today, was able to reduce development time for analysis of promotions and other events from 2 months to 1 day using the Aurora zero-ETL integration with Amazon Redshift.Zephyrnet, 4d ago

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...“Customers of all sizes tell us they want to take advantage of GenAI to build next-generation applications and future-proof their businesses. However, many customers are concerned about ensuring the accuracy of the outputs from AI-powered systems while protecting their proprietary data,” said Sahir Azam, chief product officer at MongoDB. “With the integration of MongoDB Atlas Vector Search with Amazon Bedrock, we’re making it easier for our joint-AWS customers to use a variety of foundation models hosted in their AWS environments to build GenAI applications that can securely use their proprietary data to improve accuracy and provide enhanced end-user experiences.”...ERP Today, 4d ago
Human Oversight and Intervention: While AI can greatly enhance cybersecurity efforts, it's not a substitute for human expertise. Security teams should maintain an active role in monitoring and validating the decisions made by AI systems, as human intervention is essential in complex or novel situations. Additionally, security leaders must educate their teams on how to effectively use and understand AI systems to ensure that they are deployed correctly and that security teams can leverage the insights generated by these systems to make well-informed decisions.TechRadar, 5d ago
Why is there so much hype now over ChatGPT? There are many reasons, but a key reason is the adoption rate has been steep and quick. While systems continue to learn, human interactions are required to make them more efficient, accurate and relevant in our world. Human validation of processes must continue to ensure that the technology is assisting the customer. There is a lot of math with AI, but unless you develop software with AI, you don’t have to be a data scientist to utilize these tools. To best utilize them, you need to understand your business data in as mu ch detail possible. In simple terms, know the data your business uses and understand what stakeholders use and how it helps them perform their jobs. It would be best to create journeys for your processes with a beginning, end, and purpose. If you have a vision and plan, AI is likely to improve business outcomes, drive more customers to your business applications, and allow them to self-serve.Traffic Technology Today, 4d ago
...“Conquest Cyber has built its powerful reputation from building technology that helps secure the sectors critical to our ways of life,” said Jeffrey J. Engle, chairman and president of Conquest Cyber. “We pride ourselves on providing radical transparency to key decision-makers within high-security organizations to enhance their cybersecurity posture and digital resiliency through risk informed protection, detection, and response at machine speeds. We are excited to join forces with BlueVoyant and combine our expertise to continue to ensure customers have modern solutions for their unique cybersecurity needs.”...Help Net Security, 5d ago
Data acquisition: AI needs data from sensors, IIoT devices, energy assets and this data traverses through OT and IT environments. This creates all sorts of data security challenges. The threat surface increases when manipulated data is fed into AI models and misleading controls and people. This can have fatal consequences. The security technologies currently being used in energy are aged and often inadequate for next gen applications. A hack in 2022 paralyzing 11GW of German wind turbines is a great example of security weaknesses. Holistic end2end data security strategies, technologies and protocols can overcome these weaknesses. Zero-trust principles must be implemented. New technologies like Explicit Private Networking (XPN) protect encrypted data and commands while in transit across untrusted network segments and while resting within a data store. Data packages are cryptographically signed at the source and can be verified at any time to ensure no tampering or corruption.Energy Central, 5d ago
There are many alternatives. Examples include microchips, artificial intelligence (AI), data science, and organoids. Authorities need to ensure the safety of drugs and chemicals for consumers. Beekhuijzen: “With them, science and industry coordinate the die-test-free transition within those safety guarantees. In doing so, we must avoid the idea that things can stay the way we’ve always done them.IO, 5d ago

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Although technological solutions are essential, strong legislative frameworks that handle the production, dissemination, and harmful use of synthetic media are also necessary as part of a holistic approach to the deepfake problem. Governments and regulatory organisations need to work together to design laws that specify the penalties that will be applied to people or organisations found guilty of producing or distributing deepfakes for malicious intent.MarTech Series, 5d ago
...• Streamline cost and resource use to optimise for sustainability: Combining process efficiency with energy reductions can help drive sustainable outcomes at scale. Oyak Cement operates in Turkey, Portugal, Cape Breton, and West Africa. It is a leading player in one of the most hard-to-abate industries, which generates 6% of all manmade emissions. Oyak used an AI-infused edge-to-cloud data management system to replace 30% of its fossil fuel-sourced energy with renewable sources, as well as to cut energy use. Oyak Cement now saves €5-7 million with every 1% reduction in energy use. In addition, it can calculate CO2 emissions in real time, essential for reporting and streamlining operations.Putting green software to work Digital technologies have proven their worth in the energy industry. As they are leveraged to ever greater advantage, we must consider their own sustainability impacts.Software, like other products, must also be designed for minimum carbon impact, following green software engineering principles and incorporating patterns and practices that limit the overall carbon emissions from digital products.Green software will be a potent tool in revolutionising the way we approach energy management and decarbonisation. AVEVA is working with the Green Software Foundation to understand the energy consumption of our own software and to ensure our solutions are designed to be as low carbon as possible.While measuring the energy consumption of software has been a challenge, the green software now becoming available will help energy and other sectors to further improve their sustainability profiles.Making sustainability the defaultDriven in part by consumer pressure and regulatory responses, greener ways of doing business are becoming the norm.The energy industry has no option but to decarbonize its operations.The sector will need to use every strategy available to ensure that this economic engine continues to drive equitable progress for everyone on the planet. Green industrial software could be the most powerful tool available to help us achieve that goal.Energy Connects, 5d ago
Founded in 2014, Unacast is a location insights company. We help retailers, real estate professionals, and investors make better data-driven decisions. Our clients use our data to improve high-leverage decisions such as site selection, retail operations, or assessing opportunities and risk. At Unacast, we help our clients analyze foot traffic patterns across various points of interest and contextualize this data with trade area, cross visitation, demographic, and migration analyses. These are available at the state, city, zip, and census block group levels. Our insights are built on proprietary data models that blend a wide variety of privacy-safe data with AI and machine learning to ensure that our clients have an accurate view of the world around them. Learn more at...GISCafe, 5d ago
Spectral has a real GUI interface, which makes it much more accessible and suitable for the majority of users. It also employs AI and machine learning techniques to ensure that detection rates rise and false positive rates fall over time as the system gathers and processes more data. Overall this tool can be an effective solution in detecting and remediating secrets, and that too in a more effective way.opendatascience.com, 5d ago
The challenge of understanding and properly developing human-AI co-creative systems is not to be faced by a single discipline. Business and management scholars should be included to ensure that tasks sufficiently capture real-world professional challenges and to understand the implications of co-creativity for the future of work at macro and micro organizational scales, such as creativity in team dynamics with blended teams of humans and AI. Linguistics and learning scientists are needed to help us understand the impact and nuances of prompt engineering in text-to-x systems. Developmental psychologists will have to study the impact on human learning processes.ScienceDaily, 5d ago
Without proper guardrails in place around generative AI, someone could write a prompt revealing personally identifiable information (PII). For this reason, companies leveraging AI should be subject to audits and other security controls demanded by their customers or regulators. For higher education institutions, they must ensure the bots they use are FERPA compliant. Training and education on AI are essential to successful deployment and should be included in internal risk management strategies.B2B News Network, 5d ago

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...“Data driven decisions are a cornerstone of most successful businesses, and they begin with a foundation of data quality. The critical pathway for operations to leverage analytics is to first ensure that data integrity and data quality are a core component of their business culture particularly at front line sales where these issues are most common. Many businesses including ours are utilising data quality measures as a gateway prior to eligibility for short term incentives in addition to using business intelligence reporting tools to assist the same staff to improve performance. Over and above this, enhancing internal systems with third party data validations can significantly improve data integrity.Dynamic Business, 5d ago
Outside a business context, the rise of generative AI and its potential ubiquity offer great possibilities to help solve problems such as climate change, world hunger, diseases, education inequality, income inequality, and the energy transition. For example, technological advancements could boost quantum technology and allow for "digital experiments" of physical processes, such as nuclear power generation. The potential for good is virtually limitless, but so is the potential for harmful consequences, intended or otherwise. That's why generative AI requires a solid, human-led, regulated ecosystem to ensure its highly disruptive nature leads to positive outcomes.spglobal.com, 5d ago
OneTrust provides organizations with visibility into critical areas such as privacy, governance, risk management, ethics, and environmental, social, and governance (ESG) concerns. This holistic approach ensures that organizations can proactively address these aspects in a synchronized manner, reducing silos and enhancing efficiency. OneTrust goes beyond providing training to offering tangible proof of compliance through detailed reports on training history and performance. This supports internal audit efforts and bolsters an organization’s ability to demonstrate its commitment to privacy and regulatory alignment with external stakeholders.Comparitech, 5d ago

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The second challenge for the ongoing legislative efforts is the fragmentation. AI systems, much like living organisms, transcend political borders. Attempting to regulate AI through national or regional efforts entails a strong potential for failure, given the likely proliferation capabilities of AI. Major corporations and emerging AI startups outside the EU’s control will persist in creating new technologies, making it nearly impossible to prevent European residents from accessing these advancements. In this light, several stakeholders[4] suggest that any policy and regulatory framework for AI must be established on a global scale. Additionally, Europe’s pursuit of continent-wide regulation poses challenges to remaining competitive in the global AI arena, if the sector enjoys a more relaxed regulatory framework in other parts of the world. Furthermore, Article 6 of the proposed EU Artificial Intelligence Act introduces provisions for ‘high-risk’ AI systems, requiring developers and deployers themselves to ensure safety and transparency. However, the provision’s self-assessment nature raises concerns about its effectiveness.Modern Diplomacy, 20d ago
In addition to disclosure, there are other things that news organizations can do to ensure that AI is used ethically and responsibly. They should develop clear guidelines for the use of AI. These guidelines should address issues such as bias, transparency and accountability. They should invest in training and education for their staff. Journalists need to understand how AI works and how to use it responsibly.techxplore.com, 18d ago
In addition to disclosure, there are other things that news organisations can do to ensure that AI is used ethically and responsibly. They should develop clear guidelines for the use of AI. These guidelines should address issues such as bias, transparency and accountability. They should invest in training and education for their staff. Journalists need to understand how AI works and how to use it responsibly.EconoTimes, 19d ago
Responsible Use by Federal Government. The Executive Order recognizes that the federal government should manage the risks from its own use of AI and increase its internal capacity to regulate, govern, and support the responsible use of AI to deliver better results for Americans. The Executive Order promises that the federal government will work to make sure that federal employees will get adequate training to understand the benefits, risks, and limitations of AI while attempting to modernize and streamline its operations.natlawreview.com, 17d ago
...“Additional funding into AI was to be expected from today’s Autumn Budget – Rishi Sunak wants the UK to become an innovation hub. But it’s just as important that AI-related investment aligns with the views of society. New advancements bring forth the need for new regulation, investment in L&D and reskilling of workforces; business leaders and government must advocate for the benefits of AI whilst eliminating its limitations. Above all, we must ensure the safety of society is not forgotten in the UK’s pursuit of the AI crown.“...Customer Experience Magazine, 10d ago
While Dr. Darren Burke champions the positive potential of integrating AI into positive psychology practices, he is mindful of the challenges and ethical considerations. Issues such as data privacy, algorithmic bias, and the potential for overreliance on technology are aspects he addresses in his work. He emphasizes the importance of ethical AI development and the need for a balanced approach to ensure technology serves as a tool for positive transformation rather than a source of harm.LA Progressive, 19d ago

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Will this collaborative research endeavor be specific only to the Pacific Northwest? Or will it lead to new insights about earthquakes that can be applied elsewhere in the world?While CRESCENT will focus on the Pacific Northwest, the research results will be transformative and can provide insight into earthquake hazards at other subduction zones around the world. The Cascadia Subduction Zone stands out globally as one that hasn’t produced a great earthquake for hundreds of years. The last one was a magnitude-9.0 earthquake in 1700, and it’s likely that a strong event will occur in the coming decades. Given the time since the last earthquake, much of the development of this region has taken place without first-hand experience, leaving communities ill-prepared for the next big one. The center’s focus on connecting cutting-edge science with workforce development, emergency response plans, and public policy agencies will hopefully allow new scientific discoveries to inform decision making and enhance resilience to earthquake hazards in the region.smith.edu, 5d ago
...“It’s really important that we all stay aware of what the technology can do, because if we know what it can do, we’re more likely to be able to see past some of the stuff that’s being put out there,” she said. “If you’re not aware of deepfakes and you don’t know anything about it, then you’re not going to be able to say ‘hey, I wonder if that’s a deepfake.’ If you’re not aware of what image generators can do, then you’re not even going to question different media that you [find].”Thompson was also optimistic at the passage of A.B. 783 in October, which will establish media literacy curricula for K-12 in California, although its requirements will not be realized for some time.On the computer science side of GenAI, VCOE’s Director Technology Infrastructure Stephen Meier said part of demystifying the technology is understanding it as a tool, not an agent.“We have this idea that because we’ve abstracted the person out of the machine, that the machine, the AI, is now infallible. But we have to remember the machine was created by fallible creatures, and we can’t take the fallibility out of the machine,” he said. “The other part that goes along with that is, you have OpenAI, who is arguably driving the AI conversation … is now controlled by six people, or potentially now four people. That is something that really concerns me, as AI becomes pedagogical, wrapped up in what we’re teaching our students.”Meier said another risk with GenAI lies in the data it was trained on. He made an analogy with the MOVEit hack earlier this year, in which a foreign actor essentially poisoned a software company’s product and infected that company’s clients around the world by extension.“They’re already doing that today with data set poisoning,” he said. “If you find one of these AI companies that have these large training models, if you get a bad actor in there who poisons that data, you’re now getting bad results.”Looming questions aside, the panelists were broadly optimistic that the challenges of AI will be solved. Reina Bejerano, chief technology officer at Oxnard Union High School District, said parents seem to be receiving the evolution of AI fairly well. She likened it to social media — they don’t really know what Snapchat or TikTok are, but they know their kids use them, and they’re generally curious to learn more. She said her district had some success hosting parent nights with dinner and conversations about these emerging apps and tools.Bejerano cited Khanmigo, a custom tool that can adjust its answers to prompts if a student doesn’t understand them, as an example of one that already seems to be having a positive impact.“It really is giving students autonomy, it’s giving them that freedom to learn in their own way, and it’s allowing them to be vulnerable,” she said. “In my opinion, I’m seeing more engagement, and higher engagement, than I’ve seen before because students have this autonomy and they’re able to feel vulnerable, and then they end up learning more.”...GovTech, 5d ago
..."While each has its risks, together, they can create a more secure and efficient network. For example, the way AI can beef up blockchain's security and tackle risks in crypto trading is nothing short of essential. But on the flip side, crypto comes to the rescue of AI's big hurdles, like making sure that AI-created content is legit and stopping a handful of tech giants from dominating." She has authored several insightful...icrypto.media, 5d ago
It is indisputable that AI, like many significant technological advancements that have come before it, necessitates a discussion of regulations and guidelines to safeguard its operation, ensure security, safety, privacy, and impartiality, and address its direct and indirect consequences. But no two AI technologies are equivalents and each carry different risks, impacts, and implications.VIAVI Perspectives, 5d ago
...“Customers of all sizes from startups to enterprises tell us they want to take advantage of generative AI to build next-generation applications and future proof their businesses. However, many customers are concerned about ensuring the accuracy of the outputs from AI-powered systems while protecting their proprietary data,” said Sahir Azam, Chief Product Officer at MongoDB. “With the integration of MongoDB Atlas Vector Search with Amazon Bedrock, we’re making it easier for our joint-AWS customers to use a variety of foundation models hosted in their AWS environments to build generative AI applications that can securely use their proprietary data to improve accuracy and provide enhanced end-user experiences.”...Datanami, 5d ago
The surge in AI capabilities has resulted in an inundation of information and vendor propositions. This influx, while reflective of the burgeoning potential, shows just how critical it is to take a measured approach. Making informed decisions becomes all-important in understanding opportunities and charting a course that aligns with your long-term vision. Agencies must carry out rigorous assessments to determine the most beneficial and ethical applications of AI, weighing up short-term gains against the sustainable impact on society.The Mandarin, 5d ago

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The cybersecurity landscape is evolving rapidly, with new risks emerging at an unprecedented pace, driving policymakers to hurriedly adopt new rules. The government is taking measures to ensure responsible business conduct and individual data protection. Recently, at the G-20 summit, India advocated for the responsible use of AI technology. Also, the Digital Personal Data Protection Bill of 2023 is a crucial milestone in advancing personal data privacy and security within the digital realm. It introduces several key elements that have the potential to shape India’s future data protection and privacy regulations.DATAQUEST, 7d ago
The GPT-4 was tested using a public Turing test on the internet by a group of researchers from UCSD. The best performing GPT-4 prompt was successful in 41% of games, which was better than the baselines given by ELIZA (27%), GPT-3.5 (14%), and random chance (63%), but it still needs to be quite there. The results of the Turing Test showed that participants judged primarily on language style (35% of the total) and social-emotional qualities (27%). Neither participants’ education nor their prior experience with LLMs predicted their ability to spot the deceit, demonstrating that even persons who are well-versed in such matters may be vulnerable to trickery. While the Turing Test has been widely criticized for its shortcomings as a measure of intellect, two researchers from the San Diego (University of California) maintain that it remains useful as a gauge of spontaneous communication and deceit. They have artificial intelligence models that can pass as humans, which might have far-reaching social effects. Thus, they examine the efficacy of various methodologies and criteria for determining human likeness.MarkTechPost, 24d ago
Because of the current and future risks posed by generative AI, I expect we will see data privacy regulations strengthened in the near future. People care about privacy and will expect their representatives to enact laws and regulations to protect it. As an industry, in order to realize the anticipated value from AI, we need to work alongside governing bodies to help ensure a level of consistency and sensibility are present in potential laws and regulations.securitymagazine.com, 13d ago