Lesson 565 of 2244
AI System Incident Response: Building the Runbook Before the Headline
AI system incidents — bias failures, safety failures, model behavior changes — require a different incident response than traditional outages. Here's the runbook your team needs before the next incident hits.
Adults & Professionals · Safety & Governance · ~7 min read
The premise
AI incidents are a different beast than infrastructure incidents; the response requires roles, decision rights, and communication patterns that don't exist by default.
What AI does well here
- Pre-define incident severity tiers specific to AI failure modes (bias, safety, performance, behavioral)
- Establish rollback procedures (model version, prompt, system configuration) that can execute in minutes
- Build stakeholder communication templates for affected users, regulators, and public
- Document the post-mortem template that captures what humans should learn from the incident
What AI cannot do
- Substitute for the actual incident commander's judgment in real-time
- Pre-script every possible incident type (some require improvisation)
- Replace the cross-functional team that responds to AI incidents (legal, comms, product, engineering, ML)
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