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 & citationDangers of Incorrectly Configured AI Reward Systems: A Case Study
Read moreUber's Self-Driving Car Violates Traffic Law: Highlighting the Need for Safe and Secure AI
Read moreUnpatriotic AI Messages: A Case Study on China's AI Governance
Read moreTesla Autopilot Incident: Enforcing Safe and Secure AI Operations
Read moreAI-Powered Robot Unintended Incident: Security Guard Malfunctions Near Water Fountain
Read moreTragic Incident: AI-controlled Robot Injures Worker in Haryana's Manesar Factory - Emphasizing the Importance of Safe and Secure AI
Read moreSnow Blindness Affects Self-Driving Cars: An Example of the Importance of Safe and Secure AI
Read moreSelf-Driving Car Collision: Highlighting the Importance of AI Governance
Read morePalestinian Man's Arrest Due to Incorrect AI Translation Highlights Need for Responsible AI Governance
Read moreExamining Racial Bias in Augmented Reality: Pokemon Go Incident
Read moreTeachers Plan Widespread Appeals Against Alleged Biased AI Evaluations - Emphasizing Need for Responsible AI Governance
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.