Safety Cases: A Scalable Approach to Frontier AI Safety

Understand

Safety cases - clear, assessable arguments for the safety of a system in a given context - are a widely-used technique across various industries for showing a decision-maker (e.g.

• boards, customers, third parties) that a system is safe.
• In this paper, we cover how and why frontier AI developers might also want to use safety cases.
• We then argue that writing and reviewing safety cases would substantially assist in the fulfilment of many of the Frontier AI Safety Commitments.