Values Statement: We believe AI should cause no harm, but enhance the quality of human life, by proactively adopting our AI Governance framework.
Evidence-based Transparent For governance
AI Incidents
Data source & citationGoogle Photos AI Incident: Unintended Photo Alteration Highlights Need for Safe and Secure AI
Read moreRobot Employee's Unexpected Scare Tactics Lead to Dismissal: A Case Study in Responsible AI
Read moreUnsafe Reward Systems in AI Applications: Harm Prevention and the Role of Trustworthy AI
Read moreSelf-Driving Uber Vehicle Violates Traffic Laws: A Case for Responsible AI Governance
Read moreUnpatriotic Messages from Chinese Chatbots: A Case Study in AI Governance
Read moreDangerous Use of Autopilot Highlights Need for Responsible AI Governance - Drunk Tesla Driver Incident
Read moreUnusual Incident: Security Robot Malfunctions, Falls into Water Fountain - Highlighting the Importance of AI Safety
Read moreAI-controlled Robot Fatality in Manesar Factory Highlights Importance of Safe and Secure AI
Read moreSnow Blindness in Self-Driving Cars: A Case Study for AI Incident Prevention
Read moreResponsible AI: Google Self-Driving Car Incident - Red Light Violation
Read morePalestinian Man's Arrest Triggers Facebook Apology for Incorrect AI Translation - Emphasizing the Need for Safe, Trustworthy AI
Read moreData source
Incident data is from the AI Incident Database (AIID).
When citing the database as a whole, please use:
McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.
Pre-print on arXiv · Database snapshots & citation guide
We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.