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 Incident on Highway 101: Assessing Responsibility in AI Governance
Read moreWriting Christmas Carols: A Test for Responsible AI - An Incident Analysis
Read moreGoogle Photos Identifies Ski Photo as Potential Harm Incident - Mapping to Govern Function in Project Cerebellum's TAIM
Read moreRobot Hiring Mishap: The Importance of Responsible AI in Customer Service
Read moreMisconfigured Reward Systems in AI Operations: A Case Study
Read moreChina Shuts Down Chatbots for Violating Party Lines - An Example of AI Governance
Read moreWinter Challenges for Trustworthy Self-Driving Cars: AI Incident Analysis
Read moreMisinterpreted AI Translation Leads to Misunderstanding: Facebook's 'Good Morning' Incident
Read moreGoogle's Self-Driving Car Incident: Software Error Caused Bus Crash - Highlighting the Need for Safe and Secure AI
Read moreLessons Learned from Kaggle's Fisheries Competition: Advancing Responsible AI Governance
Read moreFatal Robot Accident Highlights Need for Safe and Secure AI: Worker Killed in Welding Incident at Indian Car Parts Factory
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.