Corrigibility is discussed in AI safety, security, and governance practice. Teams use the idea to anticipate failure modes, harden systems, and document controls for high-stakes deployments.
AI Glossary
Corrigibility
Coverage in development
Corrigibility is discussed in AI safety, security, and governance practice. Teams use the idea to anticipate failure modes, harden systems, and document controls for high-stakes deployments.
Definition
Plain English explanation
Corrigibility helps reduce harmful or untrustworthy AI outcomes.
Related glossary terms
Last reviewed
Sources
- NIST AI Risk Management Framework — risk vocabulary context for AI systems
- Brel Digital company and technology profiles — applied usage evidence where tagged
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