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 & citationTesla with Autopilot Involved in Accident While Driver Was Watching a Movie - A Case for Safe and Secure AI
Read moreExposing Limitations in AI: The Importance of Responsible Chatbot Development
Read moreMonitoring LA Wildfires: Responsible AI in Action – Waze's Approach to Safe and Secure Navigation during California Fires
Read moreUnderstanding the Importance of Trustworthy AI in Self-Driving Vehicles: Lessons from the First-Day Accident
Read moreUnforeseen Accident at Volkswagen Plant Highlights Importance of Safe and Secure AI: A Case Study for Responsible AI Governance
Read moreCalifornia Accidents Highlight Importance of Safe and Secure AI in Autonomous Vehicles: Google, Delphi Self-Driving Cars
Read moreFace ID Breach: Unmasking Security Vulnerabilities in Trustworthy AI
Read moreStanislav Petrov's Pivotal Role in Preventing a Global Nuclear Disaster in 1983 - A Cautionary Tale on AI Governance
Read moreBoeing's 737 Max 8 Incident: A Case Study on AI Safety and Leaking Abstractions
Read moreThe Role of AI in the 2010 'Flash Crash': A Case Study on Responsible AI Governance
Read moreAnalyzing The Neural Net Tank Urban Legend: A Case Study for Safe and Secure 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.