What Does This Mean?
The institutional practice and policy framework of formally documenting and disclosing AI system failures, safety incidents, or unexpected behaviors to regulators, the public, or an industry body, distinct from an AI report flood, which is a volume-overload problem in bug bounty submissions rather than a governance practice.
REAL-WORLD EXAMPLE
"Under the new framework, that near-miss would have required formal AI incident reporting within forty-eight hours."
LORE & ORIGIN
Named directly by policymakers and AI safety organizations building formal reporting frameworks, modeled on incident-reporting standards from aviation and other safety-critical industries, applied to AI systems as agent deployments made real-world incidents common enough to need structured disclosure.
MENTIONS OVER TIME
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