Safety by Measurement: A Systematic Literature Review of AI Safety Evaluation Methods

markov, Charbel-Raphaël — 2025-05-19 — arXiv

Summary

A systematic literature review organizing AI safety evaluation methods into a taxonomy covering what properties to measure (dangerous capabilities, propensities, control), how to measure them (behavioral and internal techniques), and how to integrate evaluations into broader frameworks.

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