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Model Evaluation for Extreme Risks in AI Safety and Governance
This chapter discusses the importance of model evaluation for extreme risks in AI safety and governance, and highlights the challenges in finding effective evaluations and building governance regimes. It suggests research, internal policies, and support from Frontier AI developers as key elements in addressing these risks, along with recommendations for policy makers to track, invest, mandate, and regulate AI deployment.