Commit to reviewing one AI incident or near miss through event, cause, control, owner, and prevention.
Run one lightweight AI incident or near-miss review using root-cause thinking Use this after a wrong AI summary, unsupported citation, harmful chatbot answer, biased routing pattern, stale source, failed handoff, privacy overexposure, or staff over-reliance near miss. AI incident review commitment Event: [what happened, when, where, who caught it] Public impact or near miss: [who could have been affected] Timeline: [source input -> AI output -> human action -> detection] Why 1: Why did the bad output occur? Why 2: Why did that condition exist? Why 3: Why did the workflow not catch it earlier? Why 4: Why was the…
Sign up free — one personalized lesson every day, matched to your role and goals.
Already have an account? Sign in