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AI GLOSSARY

Safety Case

Risk & Assurance

A structured, evidence-based argument, adapted from safety engineering in industries like aviation and nuclear power, for why a specific AI system is safe enough to deploy given its intended use and context. Safety cases are increasingly proposed as a formal deliverable frontier labs should produce before releasing highly capable models.