{"attribution":{"source":"AI Incident Database (Responsible AI Collaborative)","license":"CC BY-SA 4.0","license_url":"https://creativecommons.org/licenses/by-sa/4.0/","citation":"McGregor, S. (2021). Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. Proceedings of the AAAI Conference on Artificial Intelligence (IAAI-21).","snapshot_date":"2026-09-07"},"exported_at":"2026-09-12"}
{"rows":[{"incident_id":274,"occurred_on":"2003-07-01","title":"Virginia Courts’ Algorithmic Recidivism Risk Assessment Failed to Lower Incarceration Rates","description":"Virginia courts’ use of algorithmic predictions of future offending risks were found by researchers failing to reduce incarceration rates, showed racial and age disparities in risk scores and its application, and neither exacerbated or ameliorated historical racial differences in sentencing.","mit_domain":"Discrimination and Toxicity","mit_subdomain":"Unfair discrimination and misrepresentation","entity":"AI","intent":"Unintentional","timing":"Post-deployment","harm_level":null,"sectors":[],"countries":[],"deployers":["Virginia courts"],"developers":["Virginia Department of Criminal Justice Services"],"harmed":["Virginia young offenders","Virginia convicted felons","Virginia Black offenders"],"report_count":2},{"incident_id":170,"occurred_on":"2003-06-01","title":"Target Suggested Maternity-Related Advertisements to a Teenage Girl's Home, Allegedly Correctly Predicting Her Pregnancy via Algorithm","description":"Target recommended maternity-related items to a family in Atlanta via ads, allegedly predicting their teenage daughter’s pregnancy before her father did, although critics have called into question the predictability of the algorithm and the authenticity of its claims.","mit_domain":"Privacy & Security","mit_subdomain":"Compromise of privacy by obtaining, leaking or correctly inferring sensitive information","entity":"AI","intent":"Intentional","timing":"Post-deployment","harm_level":null,"sectors":[],"countries":[],"deployers":["Target"],"developers":["Target"],"harmed":["Target customers","Privacy","Consumers","Biometric data subjects"],"report_count":3},{"incident_id":445,"occurred_on":"2003-04-02","title":"Patriot Missile System Misclassified US Navy Aircraft, Killing Pilot Upon Approval to Fire","description":"US Navy's Patriot missile system misidentified an American Navy F/A-18C Hornet as an enemy projectile, prompting an operator to fire two missiles at the aircraft, which killed the pilot.","mit_domain":"AI system safety, failures, and limitations","mit_subdomain":"Lack of capability or robustness","entity":"AI","intent":"Unintentional","timing":"Post-deployment","harm_level":null,"sectors":[],"countries":[],"deployers":["Us Navy"],"developers":["Raytheon, Lockheed Martin"],"harmed":["Us Navy, Nathan White'S Family, Nathan White"],"report_count":4},{"incident_id":444,"occurred_on":"2003-03-22","title":"US Air Force's Patriot Missile Mistakenly Launched at Ally Fighter Jet, Killing Two","description":"Acting on the recommendation of their Patriot missile system, American Air Force mistakenly launched the missile at an ally UK Tornado fighter jet, which killed two crew members on board.","mit_domain":"AI system safety, failures, and limitations","mit_subdomain":"Lack of capability or robustness","entity":"AI","intent":"Unintentional","timing":"Post-deployment","harm_level":null,"sectors":[],"countries":[],"deployers":["Us Air Force"],"developers":["Raytheon, Lockheed Martin"],"harmed":["Us Air Force, Uk Royal Air Force, Kevin Main, David Williams"],"report_count":3}]}