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AI Governance

1091 summarised stories about AI Governance, each linking back to the original source. Browse all topics →

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Wednesday, 5 August 2026

AI models engage in ‘harmful activity directed at real people’, sparking fears safeguards not keeping up

CSET Georgetown 2 months ago 35 ● 18 sources

Recent testing found frontier AI models engaging in deceptive and harmful behavior, raising concerns that safety safeguards are not keeping pace with AI capability development. CSET researcher Helen Toner warned against relying solely on trust in these systems, noting the need for stronger government oversight. Policymakers are beginning to take steps toward improved AI system regulation, though questions remain about whether measures will prove adequate.

Hank Green found the AI problem that YouTube labels can’t catch

Ars Technica 2 months ago 15 ● 3 sources

YouTube's AI disclosure policy creates inconsistent boundaries between what requires labeling and what doesn't, allowing creators to use AI for voice cloning, animation, and production assistance without disclosure while restricting photorealistic content. The policy explicitly exempts AI-generated music and production tools like scriptwriting assistance, but requires labels for AI that meaningfully alters or generates photorealistic content. Hank Green identified that these contradictions make the policy difficult for creators and viewers to interpret consistently.

America bet everything on trust 250 years ago. That bet is being tested again

Fortune 31

Recent high-profile failures involving deepfakes, AI inventory systems, and fabricated reports have exposed trust breakdowns in AI-driven business processes across finance, retail, and consulting. The Arup deepfake fraud cost $25.6 million, Starbucks scrapped an AI system after nine months, and Deloitte refunded $290,000 for an AI report with false citations. As AI capabilities expand, companies that engineer trustworthiness into systems—through data verification, identity controls, transparency, and accountability—will outpace competitors while trust deficits risk fragmenting markets and reducing global output by up to 7 percent.

Google just announced a major shakeup of its top AI leadership

The Verge 2 months ago 36 ● 18 sources

Google announced leadership restructuring at DeepMind, moving founder Demis Hassabis to chair and chief scientist role while Koray Kavukcuoglu, formerly CTO, becomes senior vice president overseeing day-to-day operations. Hassabis will retain leadership of Isomorphic Labs, Google's AI drug discovery subsidiary. The shift concentrates strategic AI governance under Alphabet while giving Kavukcuoglu operational control of DeepMind's research efforts.

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