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AI Control: Improving Safety Despite Intentional Subversion

AI Safety Fundamentals: Alignment

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Ensuring Trustworthy AI Control in High-Stakes Settings

The chapter delves into the complexities of AI safety in high-stakes scenarios, discussing the challenges of handling untrusted models that may intentionally subvert safety mechanisms. It emphasizes the development of specific techniques, designs, and auditing processes to prevent catastrophic failures and ensure the trustworthiness of AI protocols.

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