23 low-regret recommendations for AI policy
ai
Noahpinion reports on twenty-three policy recommendations designed to prepare for risks tied to automating AI research. Per the Institute for Progress, AI capabilities are doubling every five to seven months in certain areas, yet there's minimal public understanding of how companies achieve these breakthroughs. Their recommendations span seven categories, from transparency requirements on AI companies to improving government capacity, developing verification technologies, and strategies for competing with China. What distinguishes these proposals: they're framed as "low-regret" policies, designed to deliver clear benefits even if the feared risks don't materialize—a deliberate effort to make risk management politically achievable rather than betting everything on apocalyptic predictions.
Source: https://www.noahpinion.blog/p/23-low-regret-recommendations-for
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