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Model Evaluation for Extreme Risks in AI
This chapter explores the importance of model evaluation for extreme risks in AI, discussing various approaches and aspects of evaluation. It emphasizes the need for evaluations to go beyond studying a model's behavior and also examine the mechanisms behind it. The chapter also highlights the importance of transparency, security measures, and continuous evaluation throughout the model development and deployment process.