[KongchangAI]
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.

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