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Evaluating and Mitigating Risks in AI Models
The concern about the predictability and uncertainty of powerful AI models, which led to the development of responsible scaling policies to assess misuse and autonomous self-replication risks. The evaluations involve working with experts to identify concerning information not available on the internet and testing the model's responses to potentially harmful scenarios, ensuring that the model does not pose serious concerns before implementation.