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 & citationThousands Misidentified by Biased AI: A Case for Responsible and Trustworthy AI
Read moreExamining the Emergence of 'Robo-Debt' in French Welfare Services: A Case Study for Responsible AI
Read moreUsing Race in AI Model for College Predictions: A Case of Potential Bias
Read moreNYPD's Use of AI-Powered Robot Dog Sparks Controversy: A Case for Responsible AI Governance
Read moreAI-Controlled Robot Involved in Fatal Accident at Haryana's Manesar Factory: A Case for Safe and Secure AI
Read moreUnreliable Reward Systems in AI Applications: An Analysis
Read moreUber's Self-Driving Car Violates Traffic Laws: Highlighting the Need for Safe and Secure AI
Read moreUnpatriotic Messages by Chinese Chatbots Highlight Need for Responsible AI Governance
Read moreAutopilot Malfunction Incident Highlights Importance of Responsible AI Governance
Read moreUnusual Incident: AI-Powered Robot Security Guard Falls Victim to a Water Mishap
Read moreFacebook's AI Mishap Leads to Wrongful Arrest: An Incident Highlighting the Need for Responsible 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.