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4min chapter
Model Evaluation for Extreme Risks
AI Safety Fundamentals: Governance
Risks related to conducting dangerous capability evaluations and sharing materials
This chapter discusses the potential risks associated with conducting dangerous capability evaluations and sharing relevant materials in the field of AI, including evaluation results, datasets, elicitation techniques, and trained models. It explores how sharing such information could lead to the proliferation of dangerous capabilities, accelerate their development, and create competitive pressures among AI developers. It also suggests cautious approaches to sharing information and proposes potential inter-developer policies to mitigate risks.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode