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IFP think tank proposes 23 policy recommendations to manage automated AI R&D risks
“Right now, it’s as if the world is driving AI development in a car that only has an accelerator pedal and no brake pedal, let alone any kind of sophisticated telemetry for knowing things ranging from the speed of the car to the properties of the engine to the wear on the tires.”— Jack Clark
Policy think tank IFP released 23 actionable recommendations across 7 categories to help governments—particularly the US—manage the risks of increasingly automated AI R&D. The proposals span transparency requirements, state capacity building, verification technology, and international cooperation frameworks. Jack Clark highlights this as critical infrastructure: without governance levers, policymakers have no way to steer or slow AI development when crises emerge.