Conceptsafety cases / AI安全论证
Safety Case Framework
A structured argumentation system used to demonstrate that the risks of training and deploying an AI model are manageable under specified conditions. It encompasses three pillars: technical safeguards, operational practices, and misalignment incident investigation, drawing on safety governance experience from high-risk industries such as nuclear energy and aviation.