Frontier safety policies should be rebuilt around a standardized taxonomy of precursory capabilities and a mutual feedback mechanism with AI safety cases.
Measurement challenges in AI catastrophic risk governance and safety frameworks
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abstract
Safety frameworks represent a significant development in AI governance: they are the first type of publicly shared catastrophic risk management framework developed by major AI companies and focus specifically on AI scaling decisions. I identify six critical measurement challenges in their implementation and propose three policy recommendations to improve their validity and reliability.
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cs.CY 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
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Towards Frontier Safety Policies Plus
Frontier safety policies should be rebuilt around a standardized taxonomy of precursory capabilities and a mutual feedback mechanism with AI safety cases.