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Evaluating AI Risks and Capabilities
This chapter examines the complexities of evaluating AI models, particularly focusing on alignment, capability assessment, and potential risky behaviors. The speakers discuss phenomena like sandbagging and exploration hacking, exploring how these can misrepresent a model's true performance and introduce significant safety concerns. They emphasize the necessity for thorough evaluation methodologies to mitigate risks associated with advanced AI systems and to ensure their alignment with human values.