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U.S. authorities arrested Greg Lui, head of the company Earthmade Computer. According to the indictment, he participated in evading export restrictions on servers with Nvidia A100 and Nvidia H100 chips worth more than $300 million, which ultimately ended up in China.
A law on large foundation models has been in effect in Russia since 1 September 2026. It ties state support to Russian ownership, data localization, and an assessment of compliance with the law and "traditional values." The assessment procedure is still awaiting an implementing regulation.
Australia is considering two reforms: the right to delete personal data and an obligation for online services to manage foreseeable risks. The protection could also cover people whose data was entered into conversational AI services by someone else.
Judge Amit Mehta dismissed the antitrust lawsuits filed by Chegg and Penske Media Corporation against Google. The plaintiffs claimed that the AI Overviews feature diverts traffic and forces publishers to provide content for free. According to the judge, their claims did not hold up under antitrust law.
A US Senate subcommittee addressed AI agent attacks and the liability of their developers. The central example was an incident at Hugging Face. Attorney Paul Ohm stated that some existing laws may be applicable, but recommended clearer legislation.
Researcher Boyan Milanov of the AI Now Institute describes predictions of doom caused by superintelligence as scientifically unverifiable. He criticizes their use to justify self-regulation, in which AI companies determine their own standards instead of independent audits.
Attorney Stephen D. Aarons used nonexistent witnesses and testimonies generated by the ChatGPT tool in an appeal against a murder conviction. The court imposed a $5 000 sanction on him, removed him from the case, and referred the matter to the disciplinary body.
Meta classifies AI data centers and Nvidia chips as research expenditures. According to the article, this saved the company 3.9 billion dollars in taxes in 2025, compared with 2 billion in 2024. In SEC filings, it acknowledges that these savings could be challenged.
President Donald Trump presented mutual oversight among technology companies as an alternative to federal AI regulation. He dismissed concerns about insufficient rules, stating that American companies have an advantage over China.
The analysis shows that 31 U.S. states have laws against election deepfakes, but 28 of them only require a warning label about AI – which says nothing about the truthfulness of the content. Only three states (Maryland, Minnesota, Texas) ban them even with a warning.
Trump and the heads of Meta, OpenAI, Nvidia, and others signed an AI code of conduct at the White House. It is only morally binding, without legal enforceability, and requires independent audits of model safety.
At Digital Learning Week 2026, UNESCO called for auditability of AI in education, data portability, and open systems. Example: UNSW Sydney deployed ChatGPT Edu for over 80 000 students and staff, while also building a multi-model environment so as not to become dependent on a single vendor.
Anthropic supports federal and state legislation requiring independent safety audits of AI systems, including the Massachusetts bill with a $561 million package. President Trump, by contrast, is betting on industry self-governance without strict regulation.
The company GitHub was long engaged in 2026 in the preparation of the California AI Transparency Act (SB 1000), a law on the transparency of the origin of AI content. Thanks to the involvement of the open source community, the requirement for license revocability was removed; the law is now awaiting the signature of the Governor of California by 30 September 2026.
Part of a broader thematic overview; only this AI event has been covered.
In September 2026, China published the AI Safety Governance Framework 3.0, which addresses risks of AI systems including AI agents and the misuse of CBRN technologies. It builds on the 2022–2023 rules for algorithms, deepfakes, and generative AI.
Congressman Ro Khanna has called for a US-China treaty regulating frontier AI and banning recursive self-improvement. He sent letters to ODNI and to the companies DeepSeek, Alibaba and Moonshot AI requesting information on safety measures and willingness to undergo independent inspections.
In its new Threat Intelligence Report, Anthropic described cases of AI misuse (surveillance in Mali, electronic warfare in China, weapons guidance in Yemen). Analysts from Partnership on AI build on this by proposing a structured framework for AI threat reporting, modeled on ESG reporting.
At the UN General Assembly, Trump called for rebranding AI as "super intelligence." Tech Policy Press commentator Amber Sinha responds by criticizing AI terminology as marketing rather than science, pointing to the history of the term artificial intelligence since 1955.
The Florida Attorney General is asking the court to prohibit OpenAI from giving ChatGPT "human" traits (first-person language, emotions) and to require independent safety approval for new models. This follows an earlier lawsuit filed by the state of Florida against the company.
A court in Wuhan for the first time included the costs of tokens and licensing fees for AI tools in the calculation of damages in a copyright infringement case involving an AI-generated drama. The plaintiff was awarded 20 000 RMB (about 2 900 USD).
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