AI RESEARCH
Clear, Compelling Arguments: Rethinking the Foundations of Frontier AI Safety Cases
arXiv CS.AI
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ArXi:2603.08760v1 Announce Type: cross 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.