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 & citationAutopilot Malfunction Incident Highlights Importance of Responsible AI Governance
Read moreUnpatriotic Messages by Chinese Chatbots Highlight Need for Responsible AI Governance
Read moreUber's Self-Driving Car Violates Traffic Laws: Highlighting the Need for Safe and Secure AI
Read moreUnreliable Reward Systems in AI Applications: An Analysis
Read moreFaceApp Apologizes for Controversial Skin-Tone Altering Filter: A Reminder of the Importance of Responsible AI
Read moreMinor Accesses Inappropriate Content Through Digital Assistant: An AI Governance Issue
Read moreIncident Analysis: Amazon AI Misstep in Cell Phone Case Production - Emphasizing Responsible AI Governance
Read moreRobodebt: Possible Evidence of AI System Failure - Understanding the Impact on Govern Function in Project Cerebellum's Trusted AI Model
Read moreUnderstanding the Yandex Chatbot Incident in AI Governance
Read moreGoogle's AI Mishap: Female Historians and Male Nurses in Google Translate - A Call for Responsible AI Governance
Read moreLessons Learned from Kaggle's Fisheries Competition: Emphasizing Responsible AI Practices
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.