Emerging Practices in Frontier AI Safety Frameworks

As part of the Frontier AI Safety Commitments agreed to at the 2024 AI Seoul Summit, many AI developers agreed to publish a safety framework outlining how they will manage potential severe risks associated with their systems. This paper summarises current thinking from companies, governments, and researchers on how to write an effective safety framework. We outline three core areas of a safety framework - risk identification and assessment, risk mitigation, and governance - and identify emerging practices within each area. As safety frameworks are novel and rapidly developing, we hope that this paper can serve both as an overview of work to date and as a starting point for further discussion and innovation.

Publication Details

Journal
ArXiv.org
Published
2025-02-05
Primary Topic
Safety Systems Engineering in Autonomy
Type
article
Field-Weighted Citation Impact
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article

Emerging Practices in Frontier AI Safety Frameworks

ArXiv.org
Safety Systems Engineering in Autonomy
article

Emerging Practices in Frontier AI Safety Frameworks

article en

Abstract

As part of the Frontier AI Safety Commitments agreed to at the 2024 AI Seoul Summit, many AI developers agreed to publish a safety framework outlining how they will manage potential severe risks associated with their systems. This paper summarises current thinking from companies, governments, and researchers on how to write an effective safety framework. We outline three core areas of a safety framework - risk identification and assessment, risk mitigation, and governance - and identify emerging practices within each area. As safety frameworks are novel and rapidly developing, we hope that this paper can serve both as an overview of work to date and as a starting point for further discussion and innovation.

ArXiv.org
Industry, innovation and infrastructure
Openalex Percentile: Top 46%
Safety Systems Engineering in Autonomy
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Emerging Practices in Frontier AI Safety Frameworks · ArXiv.org (2025) | TGRS Research Map | TGRS