A proposal for better informing the public about loss-of-control risks from frontier AI development

Summary

METR proposes that independent assessors give the public evidence on whether frontier AI developers could lose control of their internal AI systems. The post argues that the public lacks visibility into internal development, and it describes three evidence gaps, covering alignment, control, and AI R&D acceleration. It proposes that developers work with METR on risk assessment exercises to share this evidence.

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