Clear, Compelling Arguments: Rethinking the Foundations of Frontier AI Safety Cases
This paper contributes to the nascent debate around safety cases for frontier AI systems. Safety cases are structured, defensible arguments that a system is acceptably safe to deploy in a given context. Historically, they have been used in safety-critical industries, such as aerospace, nuclear or automotive. As a result, safety cases for frontier AI have risen in prominence, both in the safety policies of leading frontier developers and in international research agendas proposed by leaders in generative AI, such as the Singapore Consensus on Global AI Safety Research Priorities and the International AI Safety Report. This paper appraises this work. We note that research conducted within t...
| Authors | Shaun Feakins, Ibrahim Habli, Phillip Morgan |
|---|---|
| Primary category | cs.CY |
| Published | 8 March 2026 |
| Last updated at source | 8 March 2026 |
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