Operationalising Safety

Operationalise AI safety as a discipline borrowed from safety-critical engineering and adapted for AI. Learn the safety case discipline (a written, evidenced argument that the system is safe enough), hazard identification (what could go wrong, how badly, how often), mitigation hierarchy (eliminate, substitute, engineer, administrative, PPE-equivalent), monitoring for emergent harm post-deployment, and the safety-bar policy that gates risky launches behind explicit acceptance criteria.