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new Generative AI (GenAI) will change focus from disruption to optimisation, with a shift from theory to practice. The predictions also signalled an expansion of modern Edge computing with simpler edge platform-centric models becoming more prevalent. Importantly, a real and mandated Zero Trust infrastructure is anticipated for 2024, crossing a broad spectrum of industries. Dell sees itself at the forefront of these technology and business growth opportunities, looking to build a data-driven future in APJ through collaboration.IT Brief Australia, 7h ago
new To come to grips with those questions, start with Anthropic. AWS bought into the startup, taking a minority stake with both sides able to raise the investment to as much as $4 billion, for two reasons. The obvious reason is that Anthropic will make AWS its primary cloud provider—bringing with it Claude, its foundation model (a vast digital network like the one that supports ChatGPT), and the AI assistant by the same name that comes with it. (Anthropic introduced Claude in March; Claude 2 debuted in July, and a faster, cheaper version called Claude Instant 1.2 was released in August.) Future versions of Claude will be available to AWS customers through a service called Bedrock, which offers access to many foundation models. AWS has built or acquired access to several such models, and it argues that its cybersecurity and range of services for those models exceed what OpenAI currently offers. Still, none of AWS’s models has shown the range or efficacy of OpenAI’s GPT-4—hence the “falling behind” narrative.Fortune, 7h ago
new Breaking down silos is only possible when leaders focus on cross-functional collaboration, particular in response to organisational change. Building a strong, collective approach to people development is a key way to make this a reality – ensuring employees are adequately prepared for any changes that come their way by working together with new colleagues and developing an understanding of each person’s unique skill set. Even amid organisational shifts, such as the adoption of generative AI, setting a firm foundation for effective collaboration will help a business move through any challenging periods with agility.The European Business Review, 15h ago
new ...“Regulatory intervention by governments will be critical to mitigate the risks of increasingly powerful [AI] models. For example, the US government might consider a combination of licensing and testing requirements for development and release of AI models…”...InnovationAus.com, 15h ago
new Second, foundation models are becoming increasingly crucial for AI, with their extensive pretraining and broad applicability across use cases. They are predicted to drive digital transformation in enterprises, enhancing productivity, customer experiences, and the cost-effective development of new products and services. Gartner anticipates that by 2027, foundation models will underpin 60% of natural language processing (NLP) use cases.CDInsights, 15h ago
new ...“Simulation is one of the most promising future technological applications, and it’s already leaving its mark today. Thanks to rapid advances in GPU hardware and quantum information science, we’re finally able to harness AI for more specialized applications that will have a profound impact on our world,” said Eric Schmidt, Chairman of SandboxAQ. “SandboxAQ’s AI simulation capabilities, augmented with NVIDIA accelerated computing and quantum platforms, will help enable the creation of new materials and chemical compounds that will transform industries and address some of the world’s biggest challenges.”...HPCwire, 17h ago

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new Get the people involved. AI can be powerful, and not just in creating reports or analysis of information. AI tools can boost collaboration, problem solving, content creation, and productivity enhancement when used correctly. But it still needs motivated people to apply AI tools and check for mistakes to avoid hallucinations and other pitfalls. Organizations and their project teams should make commitments to their people on the ethical use of AI, involve and train employees to leverage AI technology, and share the benefits of AI with their teams.Healthcare Business Today, 1d ago
new Incorporating bioethics principles into medical AI algorithms is undoubtedly a crucial aspect of creating trustworthy technology that serves to advance society. While the paper highlights multiple critical topics that should be considered and offers robust solutions, gaps and questions remain. More research needs to be done regarding when these AI tools are considered to be conscious of their own actions and, by extension when liability is placed on humans or the machines. Additionally, while the authors’ proposed solution of instituting liability fees and other systems between public and private parties is an interesting point to consider, it may be difficult to establish in countries such as the United States, where the healthcare system is incredibly disjointed. Additionally, in places with many competing private healthcare companies, it should be considered that these parties do not necessarily have patients’ best interests at heart. Instead, they tend to prioritize profits over patient well-being—thus adding another obstacle to ensuring ethical medical AI is instituted.Montreal AI Ethics Institute, 1d ago
new ...“With threat actors continuously learning and adopting new methods and strategies it becomes very apparent that we need to have a better communication channel between risk management and engineering,” Smith pointed out. “This has become very apparent with the inception of items such as ChatGPT and generative AI taking a major leap in the mass education of how little the requirements are to create major process impact.”...Industrial Cyber, 1d ago

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In conclusion, the pervasive surveillance in our digitized world presents a multifaceted challenge to our privacy and personal freedoms. From covert location tracking to the use of advanced cameras with facial recognition capabilities, the rapid evolution of surveillance technologies forces us to grapple with profound ethical questions. Furthermore, the integration of AI into education, while offering potential benefits, raises concerns about the well-being of our future generations. As we move forward, it is crucial to strike a delicate balance between the benefits of technology and the preservation of our individual rights and dignity in this era of constant scrutiny.interestingengineering.com, 11d ago
However, with great promise comes great responsibility. As we celebrate the potential benefits of AI in agriculture, it is crucial to acknowledge and address the associated risks. The deployment of advanced technologies in farming raises concerns about data privacy, ethical considerations and the potential for exacerbating existing inequalities. How can we ensure that the benefits of AI are equitably distributed, reaching smallholder farmers who are the backbone of many agricultural economies?...Agrilinks, 3d ago
China’s groundbreaking regulation of generative artificial intelligence (AI), enacted on August 15, 2023, stands as a trailblazing move in tackling apprehensions regarding privacy, intellectual property, and the propagation of AI-generated misinformation. This unprecedented law, signifies the dynamic evolution of regulatory frameworks and underscores the ongoing endeavor to harmonize innovation and control, accentuating the imperative for robust AI regulations. The implementation of these regulations, albeit with nuanced adjustments, is deemed essential for curtailing potential adversities and disturbances linked with the ever-expanding domain of AI technologies.Modern Diplomacy, 22d ago
For practitioners in the patent field in which technology is king, it is crucial to have a nuanced understanding of both the technologies and the relevant laws, not least to ensure the quality of a patent specification. Yves Hui-Yao Chang of Li & Cai Intellectual Property Office muses that “perhaps AI tools can assist in the preliminary writing of the patent specification”. However, he is adamant that AI should not become the backbone of a practitioner’s practice. “In the end, the final confirmation must be done by humans.”...iam-media.com, 18d 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
With the advancement of AI-based programs and blockchain technology, the battle against this problem continues to develop. The creative devices pinpoint replicated material, thus tracing it back to the source. They have advanced analysis, which exceeds conventional procedures, making it simpler to detect and comprehend cases of plagiarism. It remains a vital element of upholding academic and professional ethics. Secondly, it is also a preventive measure which discourages people not to engage in such malpractices. These technologies maintain credibility by ensuring that work is not plagiarized for academic and intellectual property rights. They are playing an important role in a period when any kind of information can be found and copied on the internet.Techiexpert.com, 14d ago

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new As Raimondo advocates for increased funding to fortify export controls on AI chips, the question that lingers is whether this financial infusion will be sufficient to counter China’s relentless pursuit of cutting-edge semiconductor technology. In an era where national security is intricately linked with technological supremacy, the decisions made today will shape the future balance of power. Can increased funding truly safeguard the nation’s technological edge, or does it merely represent a temporary barrier in an ever-evolving global landscape? As nations grapple for dominance in the AI arena, only time will reveal the efficacy of these strategic moves and their impact on the delicate balance of international relations.BitcoinEthereumNews.com, 1d ago
new ...22, 40, 50, a, able, About, above, Adding, administrative, administrators, advances, AI, AI in Healthcare, AI programs, AI Technology, AI Tools, alarming, All, also, always, American, among, an, analytics, and, another, any, app, applications, applied, apply, ARE, areas, around, AS, ask, assess, assigned, assist, Assistant, assisted, At, automate, barrier, BE, become, Bedroom, been, being, Below, benefits, benefitting, BEST, better, beyond, Biggest, Bit, Boost, both, breakthroughs, burnout, business, Busy, But, by, CAN, can help, cannot, care, Careers, cases, certain, challenges, challenging, change, changes, ChatGPT, check, check in, clinical, clinical trials, come, comes, comfort, coming, Communication, community, Compensation, competition, compliant, concept, concerns, connect, Considerations, consumption, contact, contribute, controversial, Conversation, Cost, Costs, could, counterparts, countless, course, created, crowded, Daily, data, day, Day-to-day, deal, Demand, demanding, depth, described, designed, detect, developing, Development, developments, Devices, diagnosis, died, difficult, Dinner, Direct, directly, Doctor, Doctors, doesn, Doesn’t, dollars, don, don't, down, downsides, Drive, During, easier, Effective, efficiently, effort, efforts, emerging, Emotional, ensure, entirely, Entrance, Environment, especially, Even, eventually, everyday, everyone, example, expedite, Experiences, experiencing, facing, factors, family, fear, Feature, feel, fewer, Filled, find, finding, First, fitbit, Five, Flexibility, floors, Focus, For, for example, form, forms, found, from, from home, functions, further, germs, Get, give, gives, Go, going, graduation, great, greatly, Growing, guidelines, half, Hard, Have, Health, health information, health services, healthcare, healthcare industry, Healthcare professionals, Healthcare Sector, healthcare security, heard, heart, Help, helpful, helping, High, Higher, higher patient, highest, holidays, Home, hopefully, Hospital, hospitals, HOURS, How, However, human, human effort, illness, Impact, impacted, impactful, implemented, improve, in, in-depth, include, Incorporated, Incorporating, industries, industry, infancy, influx, information, inspired, interact, interactions, interfaces, intervention, into, involved, Is, issues, IT, ITS, Job, Jobs, just, keep, later, Leadership, LeT, Level, levels, Life, like, little, lives, Long, Look, lot, make, Makes, Making, manage, manageable, many, mass, May, means, measures, medical, mental, Mental health, million, million dollars, Mindfulness, Minor, moments, monitoring, monitors, morale, more, most, moves, Much, naturally, nearly, Need, needing, networks, Nevertheless, Night, Now, Nursing, obvious., of, Of course, Offers, office, offices, often, on, Onboarding, once, ONE, online, only, Option, Other, other forms, out, outcomes, Over, overall, Paperwork, patient, patient care, patient monitoring, patients, People, perform, performs, personal, personalization, pew, phrase, physical, physically, place, Plan, plato, Plato Data Intelligence, PlatoData, poll, potentially, practical, preliminary, prevent, price, problems, procedures, Process, processes, Products, profession, professional, professionals, Programs, prominence, prominent, provide, provides, purpose, quality, Quality of Life, questions, quickly, quit, quite, raise, rate, Rates, rather, receiving, Recent, recent years, reduce, Reduces, reduction, RELATED, remote, Remote monitoring, removing, replace, represent, required, research, resolve, Resources, responsibilities, Retention, robot, Robotic, robotics, s, same, say, scenario, schedules, Sector, security, see, seem, seen, SELF, sense, serve, Services, shifts, should, shown, sick, significant, significantly, Simple, simplify, Simply, skills, slow, slowly, So, Soft, some, Someone, something, specifically, staff, standardized, standards, Steady, still, stopping, Streamline, stress, struggle, success, support, surgery, systemic, T, Tackle, Take, Take a look, takes, taking, Taking Care, talked, tangible, tasks, tech, techniques, Technological, Technologies, Technology, telehealth, Than, that, that’s, The, the world, their, Them, themselves, then, There, there’s, These, they, think, this, thought, threaten, Through, throughout, time, to, tools, Tracking, tracks, trade, Traditionally, Trials, truly, turnover, ultimately, under, understatement, Updates, use, Used, using, usually, Various, Visit, visiting, vital, vitals, want, Watch, way, ways, we, wearable, WELL, well-being, What, When, Which?, while, WHO, will, with, within, without, won, Work, Work Environment, work from home, Work Processes, workers, working, world, worse, would, year, years, zephyrnet...Zephyrnet, 1d ago
new The validation results reveal a remarkable alignment between LLMCarbon’s projections and real-world data for diverse LLMs, surpassing the performance of existing tools like mlco2. LLMCarbon’s adaptability to various data center specifications and its capability to pinpoint optimal parallelism settings enhance overall operational efficiency. This adaptability, combined with its ability to accurately gauge the environmental impact of LLMs, positions LLMCarbon as a pragmatic tool in assessing and mitigating the carbon footprint associated with LLMs, offering an indispensable resource for the future of sustainable AI development.Montreal AI Ethics Institute, 1d ago
new The job of marketing professionals, however consistent in goal, allows for a nearly infinite amount of variety. With that comes freedom to be creative, inventive, and forward thinking. While such systems as AI and big data analysis have enabled impressive and effective ways to measure effective marketing strategies, there are still other ways to go about enhancing marketing campaigns for successful returns.With the number of analytical tools, proven marketing strategies, predictive consumer behavioral patterns, and design techniques, there are still a number of other ways to engage consumers.Here are some design thinking tools and techniques which can help to create compelling digital marketing content. However, let’s begin by unpacking what is meant by design thinking.SmartData Collective, 1d ago
new In 2024, cybersecurity evolves amidst increased AI integration and a focus on data protection. AI-driven automation prompts the need for AI-centric security solutions to combat emerging threats and comply with strict privacy regulations. With rising concerns about AI-generated attacks and the democratization of AI, secure data sharing becomes pivotal. Anticipate a surge in cyber attacks through deepfake technology, necessitating a delicate balance between AI adoption, strong cybersecurity measures, and employee awareness for robust defense strategies. Moreover, expect increased Board expertise in cyber to reinforce these initiatives.Thinkers360 | World’s First Open Platform For Thought Leaders, 2d ago
new California’s report also usefully lays out the potential risks associated with using these new tools, making clear that while there are some new potential harms, in many cases many of the risks are common to the use of any technology. Governments need to be conscious of the fact that tools that enable the easy generation of high-quality content could be misused to dupe consumers and residents.Perhaps because 35 of the 50 leading AI businesses are in California, as the state's report points out at the outset, it is silent on the risks to governments and those they serve of relying excessively on technologies developed and governed by unaccountable companies, especially when those technologies are procured by public servants without a deep knowledge of the tech.GovTech, 2d ago

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The development of artificial intelligence (AI) presents significant opportunities for economic and social flourishing. The release of foundational models such as the large language model (LLM) ChatGPT4 in early 2023 captured the world’s attention, heralding a transformation in our approach to work, communication, scientific research, and diplomacy. According to Goldman Sachs, LLMs could raise global GDP by 7 percent and lift productivity growth by 1.5 percent over 10 years. McKinsey found that generative AI such as ChatGPT4 could add $2.6-$4.4 trillion each year over 60 use cases, spanning customer operations, marketing, and sales, software engineering, and R&D.1 AI is also impacting international trade in various ways, and LLMs bolster this trend. The upsides of AI are significant and achieving them will require developing responsible and trustworthy AI. At the same time, it is critical to address the potential risk of harm not only from conventional AI but also from foundational AI models, which in many cases can either magnify existing AI risks or introduce new ones.Brookings, 16d ago
How does one define a problem like media literacy? As W. James Potter notes in his 2010 essay “The State of Media Literacy,” the term means many different things to different people depending on where they stand on or how they use digital media. Scholars, educators, activists and people of different ages all view media literacy differently and their understanding of the term shapes how valuable they see it, especially when it comes to education and legislation.At its simplest, the National Association for Media Literacy Education defines media literacy as, “the ability to access, analyze, evaluate, create and act using all forms of communication.” Media literacy ranges from reading a book and discussing the author’s point of view to questioning whether a recent article about a political issue was written by an unbiased source, and what their bias is or how it shaped the piece.Until recently, media literacy has not been a priority for the majority of the country. Only 18 states have some legislative solutions in place for addressing media literacy education. But with generative AI on the rise and increasingly used in everyday digital media — from “fake news” taken seriously to social media posts that make use of generated images to tell a story — states are coming to grips with providing the most vulnerable populations with the tools necessary to help them avoid being misinformed.Governing, 18d ago
Europe is continually at the forefront of advancing the region’s digital infrastructure and accelerating the digital transformation of businesses. The first 10-year digital agenda for Europe (2010-2020) identified for the first time the key enabling role of information and communication technologies (ICTs) in reaching the region’s goals and setting out specific provisions to ensure a fair, open, and secure digital environment. Now, Europe is rolling out the second digital agenda (2020-30), setting itself challenging targets in various digital domains for 2030. It calls for advancements in areas such as quantum computing, blockchain, human-centric and trustworthy AI, semiconductors, digital sovereignty, cybersecurity, gigabit connectivity, 5G, and 6G. These are critical for the region’s digital transformation and to maintain its global competitiveness.The European Business Review, 7d ago

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...“Prosecutions and civil litigation stemming from fraud and other financial malfeasance are among the most complex cases in our justice system,” said Chris McCall, CEO and co-founder of Valid8 Financial. “Forensic accountants and attorneys require certainty in their investigations, which is why it may take months or even years to uncover the truth behind thousands or millions of financial transactions. Valid8’s unique approach to delivering Verified Financial Intelligence leverages AI to expedite the process while meeting the highest data quality standards for courtroom-ready evidence that expert witnesses can rely on.”...GlobalFinTechSeries, 3d ago
Hence, it is crucial to improve the efficiency of these large AI models to make them accessible. This course: “TinyML and Efficient Deep Learning Computing” by MIT HAN lab tackles this core obstacle. It introduces methods to optimize AI models, ensuring their viability in real-world scenarios. Let’s take a detailed look at what it offers:...Zephyrnet, 3d ago
AI hallucinations occur when AI systems produce incorrect or misleading information. These errors can have dire consequences in health care. For instance, imagine an AI system for diagnosing skin cancer, misclassifying a benign mole as malignant melanoma. Such misdiagnoses could lead to unnecessary and invasive treatments, causing significant distress and harm to the patient. These instances underscore the critical need for accuracy in AI systems in health care and highlight the importance of ongoing monitoring and improvement of these technologies to ensure patient safety.KevinMD.com, 3d ago
Technologies such as Generative AI, according to SAS's Chief Technology Officer, Bryan Harris, are set to augment, not replace, comprehensive AI strategies in various sectors. Organisations are expected to integrate Generative AI as a complement to their respective AI strategies. In banking, for instance, simulated data for stress testing and scenario analysis will aid in predicting risks and preventing losses. In the healthcare sector, it can facilitate the generation of individualised treatment plans, whereas in manufacturing, Generative AI can simulate production to identify opportunities for improving quality, reliability, maintenance, energy efficiency, and yield.IT Brief Australia, 3d ago
However, the complexity of integrating augmented analytics into existing workflows is a key factor restraining the growth of the Germany augmented analytics in BFSI market. Moreover, increase in concerns regarding data security is another key factor restraining the market growth. Companies are investing in robust security measures to mitigate the risks associated with data breaches and cyberattacks. On the contrary, augmented analytics provides valuable insights into consumer preferences, which enables financial institutions to offer personalized services. Furthermore, with the help of AI and ML algorithms, companies optimize their investment portfolios, identify emerging market trends, and make informed investment decisions. This offers lucrative opportunities for increased profitability and competitiveness in the financial market.alliedmarketresearch.com, 3d ago
Jinender Jain, Senior VP and Sales Head UK and Ireland at Tech Mahindra, highlights this complexity. “Data governance and AI model management present complex challenges for businesses. Compliance with data privacy regulations, such as GDPR and CCPA, is non-negotiable to avoid legal consequences and safeguard consumer trust.” Jain also emphasises the pivotal role of data quality and privacy: “Maintaining data quality is equally critical, as AI relies on accurate, unbiased data for dependable outcomes. Data cleansing and validation processes must be continuously upheld to ensure data integrity.”...technologymagazine.com, 3d ago

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At 20 pages, the document is the barest of outlines of what enterprise technology managers need to do to ensure safe development of generative AI models and methods. Still, a reminder of the basics are always a good thing to keep front and center, and the document could easily be used to construct a custom security playbook and to educate those new to AI developer tools and techniques.SiliconANGLE, 6d ago
The rise of AI in educational contexts has brought both opportunities and challenges. While these tools offer the potential for enhanced learning experiences, the prevalence of incorrect answers poses a significant risk to the integrity of education. It is imperative that both users and developers of AI technologies remain vigilant and proactive in addressing these issues to safeguard the quality of education in the digital era.Zephyrnet, 18d ago
...2. Creative Use of Virtual and Augmented RealityIn 2024, disregarding AR/VR is not a practical choice for those who may have successfully steered clear of it until now. The future promises immersive experiences through Virtual Reality (VR) and Augmented Reality (AR). It is imperative to broaden our reach by transforming events into interactive adventures, surpassing the traditional confines of in-person gatherings. VR and AR present opportunities for creative event elements, ranging from virtual tours, engaging presentations, venue explorations, hybrid participation, live demonstrations, and an extensive list of possibilities. Of course, being at the forefront of these innovations is crucial, and falling behind is not an option. 3. Elevating AI Proficiency: In 2024, the mastery of Artificial Intelligence (AI) will be a pivotal skill, transcending the trends of the day and becoming essential for unlocking unparalleled potential in event management. As an event manager, delving into AI-powered tools becomes imperative for transforming how you understand and cater to attendee preferences and behaviors. The once aspirational task of gleaning deep insights will be at your fingertips. Integration of AI into your event management repertoire will enable you to craft personalized event experiences, elevating attendee satisfaction, fostering heightened engagement, and positioning you as an event maestro, finely attuned to the pulse of your audience.eventcombo.com, 4d ago
The use of AI tools in news is a significant development . It is vital to have a thoughtful and informed conversation about this technology’s potential benefits and risks. By working together, we can ensure that AI is used in a way that serves the public interest and upholds the values of responsible journalism.EconoTimes, 19d ago
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
The use of AI tools in news is a significant development . It is vital to have a thoughtful and informed conversation about this technology's potential benefits and risks. By working together, we can ensure that AI is used in a way that serves the public interest and upholds the values of responsible journalism.techxplore.com, 18d ago

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Our traditional notions of intellectual property are not prepared for artificial intelligence. As every company navigates policies around the use of generative AI, even bigger debates are raging. Who owns the rights to AI-generated content? How can we harmonize intellectual property laws across different countries? In this panel, experts from across the intellectual property community reviewed these and other challenges to bring order to the evolving chaos. See the lively discussion on the operational, legal and ethical aspects of intellectual property in the context of AI, including generative AI and other emerging technologies.iapp.org, 3d ago
The explosion of data is driving a necessary increase in processing at the edge for reasons including latency, bandwidth savings, security, privacy and autonomy. However, deploying compute at the distributed edge for use cases spanning IoT, AI, 5G, network virtualization, and security is especially challenging because the landscape is inherently heterogeneous, consisting of a diverse mix of technologies, legacy investments and skill sets. In order to scale edge computing, we need to tame this complexity by supporting a variety of deployment models in a more standardized and open way, in addition to enabling continued use of legacy investments.lfedge.org, 3d ago
In a time stuffed with deep fakes and false data, belief is essential for accepting and checking the reality of created content material. Blockchain know-how retains a transparent, unchangeable file each time content material is created. In a world more and more inundated with misinformation, TrustChain goals to revolutionize data integrity. Leveraging the facility of blockchain and generative AI, TrustChain has sought to create a safe and clear platform for verifying and authenticating digital content material. This enables customers to test the validity and origin of generative AI outputs. By connecting the generated content material to the blockchain, customers can ensure that the content material they cope with is correct which ends up in extra belief and fewer manipulation.BlaQue Crypto News, 3d ago

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This certainly raises significant implications for the future of scientific research and the need for publishers to enhance their detection systems to keep pace with the evolving capabilities of LLMs and attempts to bypass AI detection. The outcome of this modern challenge will have profound implications for the integrity of academic work.Science Times, 3d ago
It’s inadvisable to jump the gun and sign the rising star that promises to transform your operations without any game experience, just as it’s unwise to shell out cash to the household name with an illustrious legacy that’s becoming weak in the knees and slow to keep up. When selecting a provider of intelligent automation solutions, you need to prioritize both innovation and experience and most importantly, an understanding of and commitment to your organization’s needs. Haphazardly filling your tech stack with every new tool that promises to yield the best value from AI will create a cacophony of platforms, inhibiting efficiency – take care in selecting your solutions and choose those that have proven their worth in the context of the modern enterprise.ReadWrite, 3d ago
...“A central step toward AI medicine is to achieve quantitative understanding of complex biological phenomena and underlying laws and to establish their mathematical and/or computational models, based on the ever-growing biological/medical data and knowledge,” Xuegong Zhang said. “Such models should mirror real life by being able to reproduce or simulate major biological processes and mechanisms in the digital space.”...SCIENMAG: Latest Science and Health News, 3d ago
When I speak with clients there is still a lot of apprehension about adopting AI, especially generative AI. The benefits are clear when we consider process improvement or data modelling, but when it comes to marketing, content or creative development; “giving up control” is a hard barrier to circumvent. However, when the likes of Google and Meta are investing billions of dollars into AI development, advertisers will need to adapt to maintain a competitive edge. There’s no doubt the media landscape will undergo a considerable transformation in the coming years – so what does this mean for the marketing team of the future?...advertisingweek.com, 3d ago
Generative AI is the biggest development of our time. Like the internet, it will have a huge impact on teaching and learning. The AI tools of today go so far beyond what we are familiar with, and they continue to evolve, says Ray Schroeder, in conversation with Rod Lastra, Acting Dean, Extended Education. “Too many of us make first-level use of them, using them like Google search, rather than really using them as an assistant. They can provide so much more than that. We must help universities to understand the immensity and the potential they can provide to us.”...continuingedupdate.blogspot.com, 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

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The study by Miller et al. has far-reaching implications beyond technology and psychology and into the real world. The fact that there are still racial biases in AI-generated faces underscores the need for more diverse training data in the development of AI. If AI is trained on human data and human data is biased, then of course AI will be biased. The problem, though, is that by reflecting existing inequalities, AI risks exacerbating them if left unaddressed. In fields heavily reliant on AI, such as facial recognition for security purposes, it matters that white faces are differentially recognized compared to other racial groups.Freethink, 3d ago
AI has possible downsides and restrictions, just like any other new technology. Concerns around false information and data privacy have grown. Its seeming incapacity to forge genuine connections with the world around us raises other issues. The well-known blogging destination Medium has even implemented rules to limit the use of AI on its network, reminding readers that they are a place for human storytelling. For AI to be effectively applied in any industry, including events, businesses need to grasp the notion of “Explainable AI.”...Event-Technology Portal, 4d ago
In these ways, the grey market augments an investor’s view of new bond deals coming to market. Yet, the data need to be considered in parallel with deal data coming directly from syndicates via official sources. Bringing grey market data into the decision-making process can be complicated because grey market activity takes place on informal channels such as Instant Bloomberg (IB) Chat or Liquidnet’s data stream for new issue trading. In the case of chats, the data are unstructured and, thus, a challenge to aggregate, normalize and otherwise format to present alongside more traditional sources of deal data. Fortunately, AI and related advanced data parsing techniques can come into play to efficiently present grey market data alongside structured data from formal sources.CoinGenius, 4d ago
ChatGPT’s Advanced data analysis is a powerful tool for generating code snippets. With its ability to understand natural language prompts and generate working code, ChatGPT has the potential to democratize access to machine learning technology and accelerate innovation in the field. However, users must be aware of the limitations of the technology and carefully evaluate the generated code before using it in production. As the capabilities of ChatGPT continue to evolve, we can expect to see even more exciting applications of this technology.Zephyrnet, 4d ago
Gen-AI is a double-edged sword. While it will increase adversarial activity, it also helps detect such activity. “At this time,” comments Meta, “we have not seen evidence that it will upend our industry’s efforts to counter covert influence operations – and it’s simultaneously helping to detect and stop the spread of potentially harmful content.”...SecurityWeek, 4d ago
Regulators need to implement guidelines that help standardize the language around AI, which will help with understanding the model being used, and ultimately regulate risk parameters for these models. Otherwise, its potential to take the exact same data set, and draw wildly different conclusions based upon its biases—conscious or unconscious—that are ingrained from the outset. More importantly, without a clear understanding of the model, a business cannot determine if outputs from the platform fit within its own risk and ethics criteria.TechRadar, 4d ago

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AI tools are particularly valuable when a large amount of clean data is available and where connections and correlations between those data sets can be mapped relatively easily. With this in mind, in the Biomaterials space where Modern Meadow operates, AI tools will be helpful in many ways. First, supporting consumers when navigating overwhelming amounts of information on product and material. AI tools will allow them to easily find the most sustainable options while avoiding being swayed by fake news.Fast Company, 4d ago
In 2023, Moore’s Law stands as a testament to the enduring drive for technological progress. While its traditional formulation may see modifications, the core concept of exponential growth in computing power continues to shape the technological landscape. The semiconductor industry’s responses to challenges, coupled with the interplay between Moore’s Law and emerging technologies like quantum computing and AI, underscore the ongoing relevance and impact of this foundational principle. As we navigate the complexities of an ever-evolving digital era, the legacy of Moore’s Law persists, guiding us through new frontiers of innovation and transformation.Blockchain Magazine, 4d ago
Responsible artificial intelligence (AI) is a rapidly emerging area, which strives to develop and implement AI technologies in ways that are safe, ethical and beneficial to society. While this task can be daunting and time consuming, with AI having both positive and negative ramifications for people and society alike; nonetheless there are various concepts and practical applications that assist in creating responsible AI systems.Tech Resider, 4d ago

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Dan Murray provided valuable insights into the intricate relationship between safety and economics in the trucking industry. Applied AI Systems, as highlighted in our conversation, not only contribute to enhancing safety measures but also play a crucial role in the economic viability of trucking companies. This presents an exciting opportunity for fleet safety operators to explore technologies that align with both safety goals and financial objectives.Smart Eye, 25d ago
As many businesses shift to remote or hybrid work post-pandemic, a significant amount of SaaS applications have been downloaded for work use. In 2024, SaaS applications will present the next biggest attack surface that organizations have not yet addressed. Businesses are increasingly relying on cloud-based solutions for critical operations, which is expanding the attack surface and broadening the canvas for cybercriminals to exploit vulnerabilities. Moreover, the rise in popularity of Generative AI will make social engineering attacks become easier for SaaS identity account takeovers. Security teams will need to assess all the applications that have been installed by employees, determine which are necessary for business operations, and understand the attack surface each presents. In the new year, organizations will need to “clean up” their SaaS security posture and remove all unnecessary applications with extensive permissions. Security teams will need to develop a comprehensive SaaS security program to monitor application installations and manage security controls so they can avoid a major SaaS data breach in the new year to come.Global Security Mag Online, 20d ago
The use of AI in cybersecurity raises ethical and privacy concerns, as highlighted by several experts. AI models may inadvertently perpetuate biases in data, leading to unfair or discriminatory outcomes. Ensuring the responsible use of AI and addressing biases in algorithms is paramount. It is essential to develop and adhere to ethical guidelines to balance security and individual privacy, providing a responsible framework for AI-driven cybersecurity.DATAQUEST, 7d ago
Even if we take out the existential risks of Artificial General Intelligence (AGI) coming to life to kill us, there are still plenty of real risks to worry about. The big ones that grab our attention won't be about practical and everyday threats like AI bias, inequity, civil rights violations, and pollution. They will be political red meat baiting topics like the use of these tools for child sexual abuse, terrorist attacks, or to empower the ‘Chinese threat,’ which we need to regulate to protect our values. This trajectory is already changing the landscape of encryption standards, finance, and reporting practices that could adversely impact privacy, autonomy, and civil rights.diginomica, 24d ago
The digital age has transformed how businesses operate and compete, bringing about significant changes in strategic decision-making processes. The increased availability of information and the accelerated pace of change have resulted in a complex and dynamic environment, where organisations must constantly adapt and innovate to maintain a competitive advantage. In this regard, AI can offer valuable benefits, enabling organisations to make more informed decisions from the insights of competitive intelligence reports.The European Business Review, 5d ago
The adoption of EHRs has improved care but should mostly be seen as foundational to the next stage, one in which we take advantage of our digital data to improve the quality, safety, equity, and efficiency of the system. The new AI creates this potential, and the cost of failing to take advantage of it would be high.The Health Foundation, 6d ago

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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
The Academy of Management Review invites scholars to contribute to a Special Topic Forum (STF) on AI’s multifaceted role in management and organization theory. Theoretical exploration is paramount to advance our understanding of how AI is reshaping the organizational landscape and redefining management as we know it. The STF seeks to tackle essential research questions at multiple levels of theorizing. At the micro level, researchers could delve into how predictive and generative AI applications alter key managerial tasks, such as communication, decision making, employee engagement, problem solving, and innovation. At the meso level, scholars might explore how organizations leverage predictive and generative AI for new strategies, structures, and capabilities. At the macro level, scholars could scrutinize the ethical, regulatory, and societal ramifications of integrating AI into organizations’ day-to-day management.AOM_CMS, 4d ago
...“It is critical that a business is able to store, access and work with high-quality data to work with generative AI,” said Dr Swami. “Although creating and operating a solid data foundation is not a new idea, but it does need to evolve today and embrace a comprehensive integrated set of data services that can account for the scale and type of use cases that will be dealt with here – and AWS has the broadest set of database services that can deliver every type of service at the point, all with the best price performance. Organizations also need tools to work with data and be able to catalogue and govern data too – and across all these areas AWS provides the tools to be able to execute these functions and tasks.”...computerweekly.com, 4d ago
But while we regulate its harms, we must not take away the benefits of this technology. I wondered what ChatGPT would say about its legacy. So, I asked it to write me a paragraph about it. This is what it came up with: “My legacy lies in the realms of facilitating communication, providing information, and aiding in problem-solving. Since my inception, I have been utilized by individuals and organizations worldwide, contributing to a wide array of discussions and endeavours. While I don’t possess personal experiences or ambitions, my impact is evident in the countless interactions where I’ve assisted users in generating content, learning new concepts, and fostering creative thinking. My legacy is intertwined with the evolving landscape of AI and its applications in enhancing human capabilities and understanding. The true measure of my legacy is reflected in the diverse ways people have harnessed my capabilities to connect, learn, and explore new frontiers in the digital era.”...Sify, 4d ago
AI is optimizing and automating the CI/CD pipeline, which is crucial for the efficient delivery of software. AI tools like Jenkins X utilize artificial intelligence to predict build failures, analyze code changes, and automate deployment processes. Predictive analytics in CI/CD helps in identifying patterns that may lead to deployment failures, ensuring more reliable software delivery. By automating these processes, developers teams can achieve faster and more efficient software delivery, responding swiftly to changing requirements and market demands.The European Business Review, 4d ago
Ayesha Iqbal, IEEE senior member and engineering trainer at the Advanced Manufacturing Training Centre added: "AI has significantly evolved in recent years, with applications in almost every business sector. However, there are some barriers preventing organisations and individuals from adopting AI, such as a lack of skilled individuals, complexity of AI systems, lack of governance, and fear of job replacement. With AI growing more rapidly than ever before, and already being tested and employed in education, healthcare, transportation, finance, data security, and more, it’s high time that the Government, tech leaders, and academia work together to establish standards and regulation for safe and responsible development of AI-based systems. This way, AI can be used to its full potential for the collective benefit of humanity."...electronicspecifier.com, 4d ago

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...“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
The new policy aims to ensure that generative AI tools are used appropriately by state employees, and with transparency. It also ensures that generative AI tools’ outputs are independently fact-checked. Finally, it ensures that no confidential or protected information is shared or disclosed.Included in Executive Order 346 is the direction for the state Office of Information Technology to develop policies that will help govern and facilitate the use of AI technologies by state departments and agencies. The policy announced on Friday fulfills this direction of the order.GovTech, 13d ago
...“The news that the UK and US have jointly developed guidelines to ensure the secure development of AI technology is great to hear and a welcomed announcement, especially given that the AI Security guideline is being endorsed and signed by several global government security agencies. I have been advocating for a ’Secure by Default’ approach for several years, which is all about making security usable and enabled by default. This new guideline follows those exact principles for AI technologies.Global Security Mag Online, 7d ago

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In LLMOps the main differences compared to MLOps are model selection and model evaluation involving different processes and metrics. In the initial experimentation phase, the data scientists (or fine-tuners) select the FM that will be used for a specific Generative AI use case.This often results in the testing and fine-tuning of multiple FMs, some of which may yield comparable results. After the selection of the model(s), prompt engineers are responsible for preparing the necessary input data and expected output for evaluation (e.g. input prompts comprising input data and query) and define metrics like similarity and toxicity. In addition to these metrics, data scientists or fine-tuners must validate the outcomes and choose the appropriate FM not only on precision metrics, but on other capabilities like latency and cost. Then, they can deploy a model to a SageMaker endpoint and test its performance on a small scale. While the experimentation phase may involve a straightforward process, transitioning to production requires customers to automate the process and enhance the robustness of the solution. Therefore, we need to deep dive on how to automate evaluation, enabling testers to perform efficient evaluation at scale and implementing real-time monitoring of model input and output.CoinGenius, 4d ago
The reported tension between Toner and Altman may smack of personal politics, but it is also a microcosm of a broader tension in the world of AI research as to the field’s goals and the best—or least dangerous—ways to get there. As I wrote recently in this newsletter, there are, broadly, two schools of thought when it comes to the potential dangers of AI research. One focuses on the risk that people will unwittingly give birth to an all-powerful artificial intelligence, with potentially catastrophic results for humanity. (Many believers in effective altruism fall into this camp.) Geoffrey Hinton, seen by many in the field as the godfather of modern AI research, said recently that he left Google specifically so that he could raise the alarm about the dangers of super-intelligent AI. Last month, President Biden issued an executive order in an attempt to set boundaries for the development of AI; this week, sixteen countries including the US agreed to abide by common research standards.Columbia Journalism Review, 4d ago
On September 19, 2023, the Director of the Federal Trade Commission Bureau of Consumer Protection, Samuel Levine, delivered remarks that provided insight into the FTC’s ongoing strategy for regulating artificial intelligence (“AI”) during the National Advertising Division’s annual conference. Levine emphasized that the FTC is taking a more proactive approach to protect consumers from the harmful uses of AI, while ensuring the market remains fair, open, and competitive. Levine expressed the belief that self-regulation is not sufficient to address the regulation of AI. Levine also asserted that the FTC would continue to use its enforcement authority to challenge unfair or deceptive practices related to emerging AI products and push to expand its existing toolkit through proposed rules, such as imposing fines against those who use voice-cloning to defraud consumers. In his speech, he stated in-person, “I would say, at this stage, that we’re monitoring the market closely. I think the bigger thing we’re seeing now is claims around the use of AI. When we see more actual use of AI in direct interaction with consumers, we’ll be monitoring that closely to ensure that they’re not being deceived and that does not lead to harm otherwise.”...natlawreview.com, 4d ago
How the principle of democratic participation is applied is crucial in this context. For humans to maintain control over AI, a certain level of transparency is required, and the public's use of the technology should be limited. Application programming interfaces (APIs) that allow programs like ChatGPT to be used by a third-party application (such as mental-health counseling apps) should be placed under strict control.techxplore.com, 4d ago
Generative AI types are good at emulating a wide range of personas and sticking to them. With the application of correct prompting techniques, the concentration or behavior of the product can be directed to get on a individual bias. From there, a product can evaluate a wide variety of risk situations by emulating various personas, supplying perception with diverse views. By making use of a selection of views, Generative AI can be leveraged to offer comprehensive risk assessments and are a lot a lot more able of getting neutral evaluators (via persona emulation) than a human would be. One particular can discussion a design with an opposing persona and make sure that scenarios being evaluated are completely red teamed.The Cyber Security News, 4d ago
Lead co-author professor Carl Frey, Dieter Schwarz associate professor of AI & Work at the Oxford Internet Institute and Director of the Oxford Martin Programme on the Future of Work, said, “The computer revolution and the rise of the Internet has connected talent from all around the world yet, rather than accelerating as many predicted, studies have shown that breakthrough innovation is in decline. Our paper provides an explanation for why this happens: while remote collaboration via the internet can bring together diverse pools of talent, it also makes it harder to fuse their ideas. Today, there is much talk about Artificial Intelligence supercharging innovation. Yet many predicted the same with the advent of the PC and the Internet. This should serve as a reminder there is unlikely to be a pure technological solution to our innovation problems.”...Lab Manager, 4d ago

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First and foremost, the reference to “sufficiently detailed summary” must be replaced with a more concrete requirement. Instead of focussing on the content of training data sets, this obligation should focus on the copyright compliance policies followed during the scraping and training stages. Developers of generative AI systems should be required to provide a detailed explanation of their compliance policy including a list of websites and other sources from which the training data has been reproduced and extracted, and a list of the machine-readable rights reservation protocols/techniques that they have complied with during the data gathering process. In addition, the AI Act should allocate the responsibility to further develop transparency requirements to the to-be-established Artificial Intelligence Board (Council) or Artificial Intelligence Office (Parliament). This new agency, which will be set up as part of the AI Act, must serve as an independent and accountable actor, ensuring consistent implementation of the legislation and providing guidance for its application. On the subject of transparency requirements, an independent AI Board/Office would be able to lay down best-practices for AI developers and define the granularity of information that needs to be provided to meet the transparency requirements set out in the Act.COMMUNIA Association, 27d ago
The Myrror Security platform seamlessly unites the two essential pillars required to effectively address real threats in the modern software supply chain – the detection of malicious packages and CI/CD attacks, and the prioritization of known vulnerabilities. By employing proprietary binary-to-source code analysis capabilities with advanced AI matching techniques, the company detects known and unknown threats, such as malicious packages, malicious code, and CI/CD breaches, in real-time — before they even reach production. In addition, by using an advanced reachability model, the company’s Code Aware SCA (Software Composition Analysis) solution determines whether a vulnerable function is used in the code, reducing the noise generated by traditional SCA tools. Myrror Security also provides comprehensive mitigation plans to ensure companies can quickly and effectively remediate the risk.CoinGenius, 26d ago
The Biden administration’s recent executive order and enforcement efforts by federal agencies such as the Federal Trade Commission are the first steps in recognizing and safeguarding against algorithmic harms. And though large language models, such as GPT-3 that powers ChatGPT, and multimodal large language models, such as GPT-4, are steps on the road toward artificial general intelligence, they are also algorithms people are increasingly using in school, work and daily life. It’s important to consider the biases that result from widespread use of large language models.For example, these models could exhibit biases resulting from negative stereotyping involving gender, race or religion, as well as biases in representation of minorities and disabled people. As these models demonstrate the ability to outperform humans on tests such as the bar exam, I believe that they require greater scrutiny to ensure that AI-augmented work conforms to standards of transparency, accuracy and source crediting, and that stakeholders have the authority to enforce such standards.Ultimately, who wins and loses from large-scale deployment of AI may not be about rogue superintelligence, but about understanding who is vulnerable when algorithmic decision-making is ubiquitous.Anjana Susarla, Professor of Information Systems, Michigan State UniversityThis article is republished from The Conversation under a Creative Commons license. Read the original article.GovTech, 6d ago
In February 2023, South Korea’s National Assembly proposed the Act Fostering the AI Industry and Establishing a Foundation for Trustworthy AI (text in Korean). This Act has two main goals: (1) fostering the growth of AI technology; and (2) protecting data and privacy right to build trust in AI. In an effort to help grow the AI industry, the Act allows for the development of AI technologies without government pre-approval. Yet, for certain “high-risk AI,” those that directly affect privacy and safety, the Act establishes ethical principles that developers must follow.natlawreview.com, 24d ago
What does this mean in practice? It means that cyber security and disinformation, which are already prominent and incredibly challenging features of modern war, will become even more of a problem in conditions of intensive automation. Adversaries have incentives to manipulate or poison the data that feeds AI systems.78 AI will thus expand the range of counterintelligence risks to worry about. It also means that adversaries have incentives to move conflict in unexpected directions, i.e., where AI systems have not been trained and will likely perform in undesired or suboptimal ways. This creates not only data problems but judgment problems as well. Combatants will have to reconsider what they want in challenging new situations. As intelligent adversaries escalate conflict into new regions, attack new classes of targets, or begin harming civilians in new ways, how should AI targeting guidance change, and when should AI systems be withheld altogether? We should expect adversaries facing AI-enabled forces to shift political conflicts into ever more controversial and ethically fraught dimensions.Texas National Security Review, 26d ago
...“We are living in a revolutionary era for technology with the proliferation of generative AI, yet the question remains whether AI will live up to the hype in terms of its value for businesses. According to this survey from Icertis, the resounding answer from forward-looking leaders is yes – and the profound effects of AI on the enterprise are imminent,” said Monish Darda, CTO and Co-founder, Icertis. “2024 will be pivotal to determine which use cases deliver tangible outcomes as companies tap into rich data pools that exist within their own organizations, enabling them to harness the full power of AI and bring it to life across critical functions like legal, finance, procurement, and ESG initiatives.”...insideBIGDATA, 17d ago

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...“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
In the legal sphere, particularly in cases of complex digital advertising litigation involving AI, the interplay between AI and human expertise becomes pivotal. Expert witnesses play a crucial role in bridging the technical complexities of AI with the legal world, elucidating how AI functions, its limitations, and potential biases. They also emphasize the human element in AI, emphasizing the roles humans play in designing, training, and deploying AI algorithms. As AI's significance continues to grow in digital advertising, the synergy between AI and human intelligence will shape the future of the industry and its legal landscape.24-7 Press Release Newswire, 4d ago
Commenting on the funding, Bucky Moore, partner at Kleiner Perkins, said: “AI is a new layer of infrastructure that is changing how we develop software. To maximize its impact, it’s important that we make it available to developers everywhere. We expect the vast and growing landscape of open-source models to see widespread adoption as their performance approaches that of closed alternatives. Together AI enables any organization to build fast, reliable applications on top of them.”...TechStartups - Startups and Technology news, 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
With the adoption of generative AI, hyper-personalization really will take shape in 2024. Manually adapting product content for individual markets, audiences, and channels is unrealistic for most companies because it requires extensive time and resources. With AI, companies can manipulate product information in seconds and at scale. Companies can ask ChatGPT to describe a product to someone who is 13, 45, and 65 years old and then implement that messaging within their marketing material to ensure all demographics are receiving content most relevant to them.Street Fight | The Business of Location, 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
Are these conversations to truly discuss the risks and safety regarding AI or is there a larger agenda at play? It is no secret that both the U.S. and China are leveraging AI but to what extent may remain a mystery. Whether or not both nations come to a consensus on the application of AI, both must consider the consequences (good or bad) surrounding the use of AI. AI has proved to ease the burden of repetitive data processing tasks. However, the illuminated potential of AI extends beyond conventional applications, gaining notable attention in fields such as space, intelligence, and cyber. It is imperative to approach these technologies cautiously, as the unchecked deployment of AI may evolve into a influential and clandestine instrument, capable of exerting prompt and destructive effects on a global scale. The repercussions of such employment may remain undetectable until their manifestation reaches an irreversible magnitude, highlighting the critical necessity for strategic caution and preemptive measures in the utilization of AI across diverse sectors.Modern Diplomacy, 4d ago
At Clearsense, we believe the use of AI and data analytics is instrumental in achieving value-based care, which focuses on improving health outcomes for populations. Clearsense’s approach to aggregating data from various sources and providing user-friendly technology facilitates the effective use of data for planning, prioritization, and resource allocation. By incorporating social determinants data and making data easily accessible, Clearsense empowers healthcare organizations to make informed, data-driven decisions that can positively impact the health of populations—while keeping equity as a focus.Clearsense, 4d ago
It is impossible to detect change at the individual field level cost effectively, so many companies in this space, including Boomitra, Indigo Ag and Regrow, use AI modelling to estimate carbon sequestration, aggregating data from thousands of fields. There are different mechanisms to handle the statistical uncertainty in modelling of this kind. Verra’s recommendation – VM0042 – was developed by Indigo Ag and Terra carbon, both soil carbon companies themselves. However, they work primarily with North American farmers, who farm large tracts of land, so the mechanism is ill-suited to measuring soil carbon sequestration across multiple small farms.Verdict, 5d ago

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The regulation of general-purpose AI and foundation models continues to play a central role in the current trilogue negotiations between the Council, Parliament and the Commission and is the subject of controversial debate. Following the last political trilogue on October 24, 2023, an agreement on a tiered approach to the regulation of foundation models initially appeared to be on the cards. According to this, stricter obligations would apply in particular to the most powerful AI models with a greater impact on society. As a result, these would primarily affect leading – mostly non-European – AI providers. The Parliament thus abandoned its original plan to introduce horizontal rules for all foundation models without exception.Tech Policy Press, 5d 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
...“Part of this process has been getting to grips with putting a formal AI strategy in place. Our research found that 39% of organisations now have a formalised plan for using A – which is undoubtably influenced by a desire to embrace GenAI tools like ChatGPT. But this number should be higher, and a year on from ChatGPT we should be seeing AI approached more strategically, and with strong governance in place. ChatGPT and GenAI have also revealed to businesses the importance of getting a strong data fabric in place. Our research found that only 20% currently have a data fabric that supports GenAI very well – improving this will be vital to make effective use of the technology.”...TechRound, 5d ago
In recent years, the healthcare industry has witnessed a significant growth in data volume compared to other sectors like manufacturing, financial services, media, and entertainment. By some estimates it now accounts for approximately 30% of the world's data volume, with an expected annual growth of 36%, by 2025. Alongside the growing availability of data, there is also an increased demand for its use. Healthcare data can be valuable for medical research purposes and pharmaceutical development, as well as the refinement of new artificial intelligence (AI) algorithms, and the operational improvement of healthcare providers.Med-Tech Innovation, 5d ago
No matter where the funding is coming from, CEOs understand that it is essential to act quickly on AI implementation. But they know that rushing this process would be misguided. They see significant strategic questions that need to be heavily considered. These include whether to use open-source or proprietary large language models (LLMs) for their AI systems, and whether to build, buy or partner on their AI systems. Getting these questions right can define a company’s success in the era of AI driven business transformation.Hunt Scanlon Media, 5d ago
In Europe, the EU’s AI Act recognizes that AI systems will likely have a high energy consumption during their lifecycle. The legislation categorizes AI systems, setting out requirements for so-called “high-risk AI systems”. They must be designed and developed with logging capabilities that can record energy consumption, the measurement or calculation of resource use, and the environmental impact throughout the system’s lifecycle. At present, there are no regulations in place to reduce the energy consumption of AI technologies in the EU, rather, the European Parliament focuses on transparency and gaining a better understanding of the energy use of the advanced technology.OilPrice.com, 5d ago

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In Beltran de Heredia's opinion, the field in which we are most likely to see the first attempts to influence human behaviour through AI is that of work, more specifically occupational health. He argues that a number of intrusive technologies are currently in use. These include devices that monitor bus drivers to detect microsleep or electroencephalography (EEG) sensors used by employers to monitor employees' brainwaves for stress and attention levels while at work. "It's hard to predict the future but, if we don't restrict such intrusive technologies while they're still at the earliest stages of development, the most likely scenario is that they'll keep improving and spreading their tendrils in the name of productivity."...newswise.com, 5d ago
Artificial intelligence has revolutionized tourist decision-making by shifting the focus from price considerations to personalized alternatives. Tourists can now choose destinations, places, and activities that best suit their preferences, thanks to AI’s implementation of personalization techniques and recommender systems. These systems leverage the vast quantity of information available on the internet, including User-Generated Content (UGC), to provide more tailored and informed experiences. Travel assistants that leverage advancements in artificial intelligence, mobile devices, natural language processing, and speech recognition have become increasingly popular. These applications are designed to cater to user preferences, interests, and availability, offering on-demand or autonomous suggestions that proactively anticipate their needsvand they enhance the travel experience through personalized and intuitive assistance. These systems leverage the vast quantity of information available on the internet, including User-Generated Content (UGC), to provide more tailored and informed experiences. ServiceNow leverages generative AI to provide relevant, direct and conversational responses, seamlessly connecting interactions to digital workflows across the Now Platform. For example, when users inquire through Now Assist for Virtual Agent, generative AI quickly provides concise answers, supplying information such as internal codes for product and engineering teams, product media, document links, or relevant knowledge base article summaries. This ensures accurate conversations across departments and systems, improving productivity, boosting self-solve rates, and expediting issue resolution within ServiceNow. In today’s technology-driven era, the increasing AI footprint in the hospitality industry is a positive development.DATAQUEST, 5d ago
Consent, privacy, and responsible AI use are only a few of the concerns that should be included in ethical considerations. Developers and researchers ought to follow guidelines that put the rights and welfare of the people whose likenesses are being replicated first. Collaborating across the industry can help exchange best practises and forge a shared commitment to the responsible development and application of deepfake technology.MarTech Series, 5d ago

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..."We are living in a revolutionary era for technology with the proliferation of generative AI, yet the question remains whether AI will live up to the hype in terms of its value for businesses. According to this survey from Icertis, the resounding answer from forward-looking leaders is yes – and the profound effects of AI on the enterprise are imminent," said Monish Darda, CTO and Co-founder, Icertis. "2024 will be pivotal to determine which use cases deliver tangible outcomes as companies tap into rich data pools that exist within their own organisations, enabling them to harness the full power of AI and bring it to life across critical functions like legal, finance, procurement, and ESG initiatives."...procurementmag.com, 24d ago
In a 2019 report for the Brookings Institution, the UCLA legal scholar John Villasenor outlined how courts applying products liability law could foster the safe development of AI. For example, the makers of AI systems could be held liable if automated post-sale changes in its self-learning algorithms—algorithms aimed at improving its performance—evolve in a manner that actually renders the product harmful, when it is reasonably foreseeable that it might be supplied with"bad data" such that it evolves in harmful ways, and when users are engaging with an AI system in reasonably foreseeable ways. Basically, the idea is that the threat of lawsuits will encourage AI companies to make sure that their products are reasonably safe to use and that they carry warnings about potential dangers.Reason.com, 23d ago
...“I look forward to building on the success of these initiatives, deepening relationships with our customers, and enabling them to take full advantage of AI while maintaining protection over their intellectual property, adhering to regulations around data security and privacy, and ensuring that their models and applications are safe to use,” she added.TNGlobal, 13d ago
While AR’s progress has been steady, advances in AI have shot ahead. Artificial intelligence is swiftly becoming part of our everyday lives and is projected to be even more ubiquitous in the years to come. AI models trained on massive data sets can not only shorten the development time of augmented reality applications but also provide a stable foundation for new ways of doing business. With this in mind, it’s critical that B2B and B2C companies understand the benefits of combining AI and AR.insideBIGDATA, 26d ago
...“In the sphere of privacy and transparency, we’re diligent about openly communicating our practices. We believe it’s crucial to be transparent about the collection and use of data in training our AI models. It’s not just about regulatory compliance; it’s about earning the trust of our customers and the community at large. By addressing these issues head-on, we can harness the potential of AI ethically and effectively, fostering innovation that respects individual rights and societal values.”...Dynamic Business, 12d ago
...“It is imperative that business leaders navigate the challenges of data quality, human expertise, ethics and resources to ensure the responsible and effective integration of AI into these critical business functions. By leveraging the power of AI, businesses can gain a competitive edge, optimise operations and make informed decisions in a dynamic and uncertain marketplace.”...manufacturingdigital.com, 20d ago

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...“The 2024 Threat Predictions Report from FortiGuard underscores the imminent escalation of advanced cyber threats driven by the proliferation of Cybercrime-as-a-Service and the impact of generative AI. With threat actors now equipped with advanced tools, employing stealthier techniques and diversifying their targets, a unified response from the cybersecurity community is imperative. Considering these revelations, the guidance is clear: organizations should actively cultivate a culture of cyber resilience and bridge the skills gap to strengthen their defenses against the rising sophistication of cyber adversaries. The report serves as a roadmap for navigating these evolving threats and provides actionable insights to empower organizations in securing the digital landscape.”...CRN - India, 5d ago
Doug's take: The use of ML/AI for augmented cataloging is pervasive among metadata management, cataloging and governance platforms, with examples including Alation, Collibra, Microsoft Purview and Google Dataplex. What's novel here is application of GenAI, which is an obvious next step that multiple vendors are either previewing or adding to their roadmaps. Given that so much is still in preview across all vendors, it's hard to say whether anybody has an edge in using GenAI at this point. DataZone is in the early days of its adoption by customers, so anything AWS can do to remove friction from using the service will help to promote wider adoption. This service is clealry poised to assume a larger role in rule-based governance of data as it matures.Constellation Research Inc., 5d ago
The AWS CEO added that the new AI assistant was also designed to understand "rock-solid security and privacy," which were critical in determining permissions to access data that vary across multiple roles and hierarchies within companies. "If a user doesn't have permission to access something without Q, they cannot access it with Q either," said Selipsky, adding that he truly believed this is going to be transformative. "We want lots of different kinds of people who do different kinds of work to benefit from Amazon Q," he said.cnbctv18.com, 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
Successful companies will need to maintain effective governance for AI and other technological developments — a hallmark of adaptive, successful companies today. In our view, effective governance includes the establishment of policies and procedures for AI usage, oversight from boards of directors, and a proactive approach to assess and mitigate risks. Furthermore, governance should include regular audits, transparency in AI decision-making, and mechanisms for adapting to changing threat landscapes, ensuring responsible and secure AI integration across the organization.spglobal.com, 5d ago
Unlike conventional systems, in which data is centralised and exploited in a limited number of powerful servers, edge computing offers data storage and processing that is as close as possible to where the intelligence was produced, thereby reducing the circulation of large masses of information. While these connected objects are much less powerful than data centres, they are most importantly less costly and less energy-intensive. They of course cannot be used to train complex AI models, but they can run algorithms that are already operational.CNRS News, 5d ago

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As the health care landscape evolves, the AMA is committed to prioritizing a regulatory framework that ensures only safe, high-quality, unbiased, and clinically validated AI products are brought to market. By setting forth these principles, the AMA aims to guide the responsible development and deployment of augmented intelligence, ensuring that these technologies contribute positively to the future of health care.American Medical Association, 6d ago
Senator David Shoebridge said: "The launch of the Parliamentary Friends of Tech Policy gives us a glimpse of what Australia can contribute as an international leader in AI development and regulation. It is vital to ensure that AI moves forward with public accountability and that we guard against systemic inequality. To harness the many opportunities of AI, we must also proactively guard against the many risks."...ANU, 17d ago
Code-generation LLMs have become an essential part of the software developers’ toolbox and a growing necessity for businesses looking to incorporate AI applications, improve their operations and stay ahead of their competitors. However, Iterate recognized that existing LLMs including ChatGPT do not support the most modern code-sets like LangChain, nor do they include the latest thinking around coding methodologies.MarTech Series, 21d ago