Featured UK & Global AI News from AIBusinessHelp - Page 34

A federal judge lit into the Department of Health and Human Services, headed by Robert F. Kennedy Jr., for using either AI or fake studies to defend the Trump administration’s decision to fund only abstinence-based teen pregnancy prevention programs. “While abstinence-only education may well be appropriate for some age groups or communities, the agency has offered no explanation or evidence to support its across-the-board mandate that only abstinence strategies be pursued,” U.S. District Judge Christopher Cooper wrote in his opinion . “On the topic of body literacy, the notices (remarkably) reference public health studies that appear either not to exist or not to support the propositions for which they are cited—a hallmark of AI-generated citations.” Cooper issued a preliminary injunction, pausing an order that has already led to millions of dollars in grant cuts. “The Court concludes that the Plaintiffs’ likelihood of success on their arbitrary and capricious claim, combined with the severity and irremediable harm to their programming and the balance of equities in their favor, justify the issuance of a preliminary injunction in this case,” he wrote. This isn’t the first time the Trump administration—and HHS—have used AI to generate references or content. Last year, the department’s “Make America Healthy Again” report contained references to articles that didn’t exist and multiple citation errors. The HHS is likely using fake AI slop to justify and defend bad MAHA policies that have real material impacts on the lives of everyday Americans, and could have alarming effects on public health.

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Despite Washington's tightening grip on artificial intelligence (AI) technology exports to China, fo

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Apple's latest filing claims forensic evidence from Chang Liu's MacBook shows he stole a power converter schematic for OpenAI hardware and instructed a colleague to destroy evidence as investigators closed in. The accusations intensify an already bitter trade secrets battle that could shape AI device competition for years. New details add weight to calls for immediate forensic access before more proof disappears.

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The city used artificial intelligence to identify dozens of problematic intersections for pedestrians. As CBC’s Brendan Coulter explains, multiple interse...

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Micron and the chip industry have changed and the market may not fully recognize that.

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APRA and ASIC have released public notes from the latest superannuation CEO roundtables, held on 24 and 30 June 2026.The regulators jointly hosted

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Every trend deck this year has the same slide: consumers are turning against AI-generated marketing, Coca-Cola’s AI holiday ad got mocked as “soulless,” 78 per cent of people say AI makes ads feel less authentic, and the smart move for 2026 is to hide the AI and put humans back in front of the camera. [...] The post The AI marketing backlash story doesn’t actually fit Southeast Asia appeared first on e27 .

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GenAI helps to streamline content creation and accelerates agent knowledge discovery, which leads to shorter calls and happier customers.

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ChatGPT will have to comply with tougher safety rules after the EU added it on Aug 31 to a list of digital services subject to greater legal scrutiny, a first for an AI chatbot.

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NVIDIA delivered another exceptional quarter with triple-digit revenue growth. The company recorded robust performance across almost every segment and subsegment, sending its share price up roughly 10% within a few days of the earnings release. Segmental RevenueQ2 2026 (US$ million)Q2 2027 (US$ million)Percentage changeData Centre41,09689,023+116.6%Hyperscale24,16848,710+101.5%AI Clouds, Industrial, & Enterprise (ACIE)16,92840,313+138.1%Edge Computing5,6477,198+27.5%Total46,74396,221+105.9% Revenue growth accelerated for ... The post NVIDIA Q2 2027: Revenue doubles as AI spending accelerates appeared first on The Fifth Person .

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Anthropic signed a $35B cloud deal with Lambda, backed by Nvidia, for Claude AI. Nvidia paused a financing initiative for AI cloud companies.

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AI data-center electricity demand will hit about 1,000 terawatt-hours annually by 2030, more than double today's 415 TWh, reshaping energy priorities toward reliability. Sembcorp, supplying nearly a third of Singapore's data-center power, is expanding capacity, including a 600 MW deal with Micron.

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Oracle employees are bracing for possible fresh layoffs on September 1 after around 21,000 jobs were cut. The company is simultaneously ramping up spending on AI, cloud computing and data centres, raising fresh concerns over job security.

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Aug. 31, 2026 — AMD has released AMD ROCm 10, marking 10 years of the AMD software stack and making ROCm.AI generally available for users. First introduced at Advancing AI 2026, ROCm.AI is an AI-native software experience designed to accelerate development velocity and performance optimization on AMD hardware. ROCm.AI brings together three core developer experiences: AMD [...]

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Enterprise AI budgets are skyrocketing despite falling token prices. Learn how agentic workflows drive up costs and how to measure cost per successful AI task.

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The post ChatGPT and Codex Now Support Multiple Gmail and Google Calendar Accounts appeared first on Android Headlines .

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MENLO PARK, Calif., Aug. 31, 2026 — ChronoScale Corporation has announced plans with Microsoft for a 50-megawatt AI compute deployment in North America. The deployment will feature NVIDIA GB300 NVL72 systems and advanced liquid-cooling infrastructure designed for high-density AI workloads. The project brings together ChronoScale’s experience developing and operating purpose-built AI infrastructure with Microsoft’s global [...]

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Six years after the COVID-19 pandemic accelerated the shift to remote work, hybrid and remote arrangements have become an established part of the

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The history of technology is rife with copyright panics. In the 1980s, major rightsholders ran to Congress and the courts, claiming that videotape recorders (VTR) were “to the American film producer and the American public as the Boston strangler is to the woman home alone .” Then, the Supreme Court declined to embrace the hype, noting that the VTR was capable of all kinds of non-infringing uses, like time-shifting and cautioning courts to avoid rewriting copyright law in response to new technologies. We believe that courts now should be similarly wary about the hype surrounding AI. Hollywood’s hyperbole has echoed that of composer John Phillip Sousa , who claimed in 1906 that the player piano and the gramophone would destroy music composition; portrait artists who feared the camera would replace the paintbrush. None of these things happened. Cameras, for example, sparked a resurgence of portraiture and, by making it possible for more people to create image, led to unexpected developments—like the rise of photojournalism. New markets, new ideas, and new creators are actually what copyright is supposed to promote, not restrict. Using copyright to lock in existing gatekeepers and massive rightsholders’ profits helps neither the public nor individual artists. Generative AI has sparked the latest wave of anxiety and with it a massive wave of litigation. In multiple cases around the U.S. and the world, rightsholders are asking courts to do precisely what the Supreme Court warned against: dramatically expand copyright protections based in substantial part on hyperbole and speculation. They should decline to do so. Copyright owners claim that unless courts abandon 300-year-old copyright principles—and give rightsholders the power to control non-infringing works created by others—an imagined flood of AI-generated works will devastate creative markets. Under this “market dilution” theory, building generative AI tools cannot be fair use because those tools might be encourage the proliferation of competing works. As EFF has explained to the courts in multiple amicus briefs in Concord Music Group, Inc. v. Anthropic PBC and In re Mosaic LLM Litigation , that’s not how copyright works. In fact, accepting this theory would undermine copyright’s constitutional purpose: promoting the creation of expressive works for the public’s benefit. Because copyright law is designed to encourage others to build freely on existing works, it punishes infringement , not competition. The “market dilution” theory would eviscerate not only the fair use doctrine, but also other limits on copyright that work specifically to prevent rightsholders from unfairly suppressing competition by claiming broad ownership over tropes, genres, styles, and so on. In other words, publishers would wield unchecked veto power over any expression that might conceivably compete with a work they own. The result? Art doesn’t get created, ideas are never expressed, and we’re all worse off. Copyright shouldn’t be a tool to silence future creative competitors—whether or not they use AI in tehir work. And the plaintiffs in these cases get at least two other things wrong. First, research shows that large generative AI models are unlikely to produce infringing works because the more data on which a model is trained, the less any individual training example matters to any particular output. Second, AI tools aren’t necessarily displacing human creativity. To take a just a few examples: Boston-based artist Nettrice Gaskins uses AI to create Afro-futurist art, including a portrait of Octavia Butler displayed at the San Francisco Airport Indian artists Prateek Arora and Varun Gupta use generative AI to reimagine Western science fiction. Philadelphia-based artist Alex Smith uses generative AI to reimagine Afrofuturism with queer, plus-sized Black superheroes. Ana Miljački, a professor of architecture at MIT, used generative AI to create a “non-liner documentary” film on Yugoslav World War II memorials and the values they embodied. A research-creation project used AI generated visual art to both amplify the voices of activists in the Iran Woman Life Freedom Movement and evaluate AI’s role in sociopolitical advocacy through art. AI company Bronze works with musicians like Disclosure and Jai Paul to create songs that never sound the same when played back twice, challenging audience conceptions of what music could be. It is not the place of courts to say these people are not artists or that AI cannot augment human creativity in a positive way. Given this range of experimentation, courts should be reluctant to decide in advance what tools do and do not foster “human creativity.” Like the VTR, large language models are general purpose tools, used by humans to do a broad variety of things far beyond generating lyrics. The effects of this particular technological innovation will doubtless be far-reaching, disruptive, and potentially harmful for some—but distorting copyright law is not the way to address those harms.

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GTA 6 wanted level explained: How the revamped police AI works

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Peter MacCallum Cancer Centre Highlights AI Advances in Breast Cancer Oncodaily AI as good as humans at predicting breast cancer outcomes: Studies news.cgtn.com

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BitcoinWorld Instagram tightens rules for AI-generated profiles with new label and reach limits Instagram announced Monday that it is updating how it labels AI-generated profiles and will begin limiting the reach of accounts that feature AI-generated people without clear disclosure. The platform is renaming its existing “AI creator” label to “AI-generated profile,” a change designed to make the disclosure more intuitive for users. The new label is intended [...] This post Instagram tightens rules for AI-generated profiles with new label and reach limits first appeared on BitcoinWorld .

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The Director-General and Chief Executive Officer of the National Information Technology Development Agency (NITDA), Kashifu Inuwa Abdullahi, has warned that Nigeria...

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Compare Apple Smart Glasses, Meta Ray-Ban glasses, and Apple Vision Pro by price, features, battery life, availability, and everyday use cases.

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