Measurement challenges in AI catastrophic risk governance and safety frameworks

Atoosa Kasirzadeh

Measurement challenges in AI catastrophic risk governance and safety frameworks

Computers and Society 2024-10-02 v1

Authors: Atoosa Kasirzadeh

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.

Keywords

AI safety AI governance catastrophic risk measurement challenges policy recommendations

Cite

@article{arxiv.2410.00608,
  title  = {Measurement challenges in AI catastrophic risk governance and safety frameworks},
  author = {Atoosa Kasirzadeh},
  journal= {arXiv preprint arXiv:2410.00608},
  year   = {2024}
}

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