Compliance
AI Incident Response
Procedures for identifying, containing, and remediating AI system failures or harms.
Definition
AI Incident Response is the systematic approach to managing AI system failures, errors, or harms. Unlike traditional IT incidents, AI incidents may involve:
- Gradual degradation: Performance decline without obvious failure point
- Bias emergence: Discriminatory patterns developing over time
- Hallucinations: AI generating false but plausible information
- Adversarial attacks: Malicious manipulation of AI systems
- Cascading failures: AI errors propagating through dependent systems
Key elements of AI incident response:
- Detection and alerting mechanisms
- Classification and severity assessment
- Containment (potentially including AI shutdown)
- Root cause analysis
- Remediation and model updates
- Regulatory notification (where required)
- Post-incident review
Sources
- •NIST Incident Response
- •EU AI Act Article 73
Related Terms
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