AI safety through the lens of uncertainty quantification (UQ).

A researcher at McGill University is questioning why the broader AI safety community largely ignores uncertainty quantification. As LessWrong tells it, the author argues that while most safety efforts focus on alignment and control, they often overlook whether the tools used to evaluate these models actually know when their own verdicts are unreliable. This gap suggests that safety claims regarding a model's behavior may be compromised if the evaluators themselves are miscalibrated.

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