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The US and China have begun talks on the US China AI Dialogue framework for notifying each other of AI incidents that threaten national security. According to US Treasury Secretary Scott Bessent, the talks follow Trump's visit to Beijing in May.
In its first thematic report, an independent UN scientific panel called on governments to mitigate the risks of AI agents before they are fully understood. It invokes the precautionary principle from Rio Declaration 1992 and mentions incidents at OpenAI, Anthropic, Google and Meta.
OpenAI proposes a path toward shared global standards for AI based on coordinated evaluation, reporting and governance, with the aim of improving safety.
Trump defends the construction of AI data centers as necessary to compete with China, but faces opposition from 60 % of Americans (47 % of Republicans), warning memoranda from his own party (NRSC, Fabrizio), and resistance from his own voters on Truth Social.
Virginia Governor Abigail Spanberger issued an executive order that prohibits NDAs for data center projects, introduces a review of their approval process, and establishes an AI task force to address risks such as job losses and data protection.
Experts from the US (Melanie Sisson, Brookings) and China (Tianjiao Jiang, Fudan University) proposed rules ahead of the Trump-Xi meeting on 24 September prohibiting AI from autonomously launching nuclear weapons or attacking nuclear command systems. Binding mechanisms are still lacking.
The European Commission has announced Data Union Conference on the future of EU data policy, the availability of high-quality data for AI and the simplification of digital rules. The event will be streamed live, and attendance is subject to approval.
The Australian Fair Work Commission requires mandatory disclosure of generative AI use in submissions from 20 October 2026. A breach may result in a document being given less weight, payment of the opposing party’s costs or dismissal of the claim.
According to AI Now Institute, an emphasis on existential AI risks in public debate may crowd out specific regulatory proposals. The institute calls for an analysis of specific risk mechanisms before addressing scenarios of human extinction.
Legal experts warn that the words “slowdown” and “pause”, which AI companies use in connection with safety initiatives, may be interpreted under the Sherman Act as an anticompetitive agreement to restrict output, rather than as a legitimate safety measure.
A commentary on Tech Policy Press criticizes how belief in the imminent emergence of AGI/ASI drives investment narratives at tech companies – one example is SpaceX, whose IPO in June 2026 briefly made Musk a trillionaire and whose market capitalization exceeds 2 trillion USD.
A leaked proposal from the Australian government envisages an opt-out system that would allow OpenAI and Anthropic to train AI on copyrighted works without consent from their creators. A legal analyst argues that this conflicts with the Copyright Act.
The US White House halted work on a proposal to establish a regulatory body for AI lab self-regulation after David Sacks and Mark Zuckerberg lobbied President Trump against it.
AI Now Institute and Local Progress are seeking a researcher to create three state-specific guides to local data center regulation, building on the organization's North Star Data Center Toolkit.
ČTÚ has launched the Digitální maják portal, which explains rights under the DSA and the regulation of artificial intelligence and deepfakes under the AI Act, and offers tools to protect children online, including a section for companies and public authorities.
A poll by New York Times and Siena University among 1 503 likely voters (early September 2026) found that 61 % oppose the construction of data centers for AI and only 14 % strongly support it. Views differed only slightly between voters who supported Trump and those who supported Harris.
Amba Kak of AI Now Institute says that growing opposition to data centers has shifted sentiment in favor of AI regulation and allowed companies such as Anthropic to cast themselves as experts on solving problems they helped create.
AI Now Institute: companies invest billions in scaling AI models, but safety protocols are the first thing they cut — out of fear that if they do not build, the competition will.
New: Safety protocols are the first thing cut from company budgets; Companies are motivated by paranoia that if they do not build, others will (the 'only safe in their hands' narrative); Billions in investment go specifically into scaling models, while safety is neglected
An analysis by AI Now Institute argues that value from European AI projects continues to flow to US AI labs and hyperscalers, and proposes four policy directions in place of the current EU market strategy (gigafactories, VC investments, deregulation).
New York has banned student-facing AI in grades 1–8 starting in the new school year, allowing high school students to use only a limited list of tools. Los Angeles Unified School District announced a one-year moratorium on generative AI for approximately 378 000 students on the same day.
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