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AI Governance

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

Friday, 10 July 2026

Helen Toner Discusses U.S.-China AI Race at Aspen Ideas Festival

CSET Georgetown 6 days ago

Helen Toner discussed U.S.-China AI competition at the 2026 Aspen Ideas Festival alongside other technology strategists and policy experts. The panel examined the strengths and weaknesses in how both countries approach AI development and deployment. The conversation explored different perspectives on the competitive dynamics shaping the global AI landscape.

AI #176 Part 2: Plan B

Zvi (Don't Worry About the Vase) 6 days ago

This is a newsletter digest covering AI policy, regulation, and alignment research, including commentary on the Trump administration's opposition to formal AI licensing in favor of ad hoc regulation, discussions of how long it would take superintelligent AI systems to build advanced technologies like Dyson spheres, and criticism of those underestimating current AI capabilities. The author argues that policymakers and industry figures must acknowledge existing AI capabilities (the 'AI pill'), anticipate general AI (the 'AGI pill'), and consider superintelligence risks (the 'ASI pill') to make sensible decisions. The piece suggests that claims models will commoditize are increasingly dubious given the growing gap between frontier and second-tier capabilities, and that frontier AI will likely remain valuable longer than many predict.

Introducing Plan A

TLDR 6 days ago

The AI Futures Project released Plan A, a roadmap describing how the United States and China could safely navigate advanced AI development through the 2040s. The plan's core mechanism is a joint U.S.-China regulatory regime establishing mutual control over chip supply and transparent data centers, with mutual auditors verifying compliance across 98.5% of existing AI computing hardware. Under Plan A, both countries would accelerate AI development together under shared safety constraints from the early 2030s onward, pausing at systems matching top human intelligence levels before attempting further advances.