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Microsoft exec called AI scraping ‘the largest theft of labor in human history,’ new unredacted filings reveal

Unredacted filings in the New York Times v. OpenAI and Microsoft copyright case reveal internal admissions calling AI training data scraping 'theft'.

Newly unsealed material in the three-year-old NYT copyright lawsuit quotes Microsoft's Brent Hecht calling AI scraping 'an astonishing theft of unprecedented proportions' and 'the largest theft of labor in human history.' Internal data showed Microsoft's Copilot answer engine cut NYT click-through rates by up to 93% versus Bing, and OpenAI datasets reportedly contained 91,692 copies of the plaintiffs' works plus over 2 million nytimes.com documents. Employees allegedly bypassed NYT paywalls and stripped copyright notices from training data, while Satya Nadella testified that paywalled content should be licensed for training. The admissions cut against OpenAI's fair-use defense, which the Trump administration recently supported in a brief.

TechCrunch · AIupdated Sep 17, 22:01 UTC · 16h agofirst Sep 17, 19:46 UTC · 18h agoAI policy 3 sources3

The world must establish red lines for autonomous AI weapons

Opinion piece calls for international red lines on autonomous AI weapons after a Russian AI-guided drone autonomously killed three civilians in Zaporizhzhia.

The author urges enforceable international agreements governing autonomous weapon systems, citing a July 2026 incident where a Russian drone struck a gas station in Zaporizhzhia, killing three Ukrainian civilians. Ukrainian investigators found the drone carried an Nvidia Jetson Orin chip, and the onboard AI reportedly selected the specific target without a human making the final decision. The piece argues existing international humanitarian law lacks specific standards for weapons that independently select and engage targets, and points to UN and ICRC deliberations plus the Global Council for Responsible AI's red-line framework.

Help Net SecuritySep 17, 04:00 UTC · 1d agoAI policy

A brief history of AI executives calling for regulation

The Verge chronicles the history of AI executives, from Samuel Butler and Turing-era warnings to Altman and Musk, publicly calling for AI regulation.

The article traces recurring calls for AI regulation, from Samuel Butler's 1863 warnings and Alan Turing's 1951 lecture to Bill Joy's 2000 essay and Microsoft's 2018 facial recognition stance. Modern examples include Elon Musk's 2017 remarks to US governors, the 2023 Future of Life Institute pause letter, and Sam Altman's 2023 Senate testimony. It argues such appeals from industry leaders who profit from AI warrant skepticism.

The Verge · AISep 16, 12:00 UTC · 2d agoAI policy1

Self-improving AI should slow down, von der Leyen tells EU lawmakers

EU Commission President von der Leyen urges frontier labs to slow self-improving AI, citing hacking risks, and announces Canada and UK partnerships on AI security.

European Commission President Ursula von der Leyen used her State of the Union address to call for slowing self-recursive frontier AI, warning that models in development will enable hacking at previously unimagined levels. She announced joint work with Canada and the UK on model evaluation, verification, early warning, and AI security, and proposed widening the CETA trade agreement into an alliance covering AI, quantum technology, and cyber and economic security. She defended the EU AI Act as central to guardrails, promised initiatives for health, transport, agrifood, manufacturing, and defense in November, and backed an EU Kids Act barring social media for children under 13.

Help Net SecuritySep 16, 11:28 UTC · 2d agoAI policy