The organised response to when something goes wrong with an AI system — detecting the problem, fixing it, reporting it if required, and learning how to prevent it next time.
The organised response to when something goes wrong with an AI system — detecting the problem, fixing it, reporting it if required, and learning how to prevent it next time.
AI incident management adapts IT service management (ITIL) incident processes to the characteristics of AI failures, including non-determinism, emergent behaviour, and dual regulatory reporting obligations (EU AI Act serious incidents and GDPR personal data breaches). An AI incident management framework defines: incident triggers and detection mechanisms, triage and severity classification, investigation procedures, containment and remediation actions, regulatory notification processes, and post-incident review. The EU AI Act imposes reporting timelines for serious incidents — immediate notification for incidents causing death or critical infrastructure disruption, within 15 days for other serious harm.
Organisations deploying high-risk AI should build and test incident response procedures before deployment, not after — including regulatory notification workflows and communication plans for affected individuals.
Like a hospital's clinical incident management process — structured triage, investigation, duty of candour, and learning review that turns adverse events into safety improvements.
The organised response to when something goes wrong with an AI system — detecting the problem, fixing it, reporting it if required, and learning how to prevent it next time.
AI incident management adapts IT service management (ITIL) incident processes to the characteristics of AI failures, including non-determinism, emergent behaviour, and dual regulatory reporting obligations (EU AI Act serious incidents and GDPR personal data breaches). An AI incident management framework defines: incident triggers and detection mechanisms, triage and severity classification, investigation procedures, containment and remediation actions, regulatory notification processes, and post-incident review. The EU AI Act imposes reporting timelines for serious incidents — immediate notification for incidents causing death or critical infrastructure disruption, within 15 days for other serious harm.
Organisations deploying high-risk AI should build and test incident response procedures before deployment, not after — including regulatory notification workflows and communication plans for affected individuals.