An AI incident is any situation where an AI system causes — or nearly causes — harm, failure, or misuse.

Examples include:

  • Bias or discrimination (e.g., unfair hiring decisions)

  • Misinformation (e.g., incorrect medical or legal advice)

  • Privacy violations (e.g., sharing sensitive data without consent)

  • System errors (e.g., inaccurate outputs in high-stakes contexts)

  • Loss of control (e.g., AI acting outside of expected parameters)

📌 If the system impacts real people and something goes wrong — it may be an incident.