How-ToPolicyNovember 1, 2026

Talk: a 100% eval score means the eval is wrong

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AI safety researcher Ramakrishnan Lokanathan argues high-stakes AI evals should test every step of a workflow, not just the final answer, and pair automated checks with human review. A perfect score signals a flawed eval rather than a solved task.

People · Ramakrishnan Lokanathan

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