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 & citationUnforeseen Consequences: The Tesla Autopilot Incident - A Case for Safe and Secure AI
Read moreDecoding the Myth of the Neural Net Tank in AI: A Look at Responsible AI Governance
Read moreRole of AI in 2010 'Flash Crash': A Look at the UK Speed Trader Incident - Ensuring Safe and Secure AI with Project Cerebellum
Read moreBoeing's 737 Max 8 Incident: A Case Study in AI Safety and Leaking Abstractions
Read moreStanislav Petrov's Pivotal Role in Preventing a Nuclear Disaster in 1983 – Awareness for Safe and Responsible AI
Read moreUnmasking Security Vulnerabilities: A Case Study on the Breach of Apple's Face ID
Read moreCalifornia Autonomous Vehicles Incidents Involving Google and Delphi: An Examination of Safe AI Governance
Read moreUnforeseen Consequence: Robot Fatality at a German Volkswagen Plant Highlights Importance of Safe and Secure AI
Read moreLearning from a Self-Driving Shuttle's Initial Mishap: Insights for Safe and Trustworthy AI
Read moreLA Wildfires and AI Governance: An Examination of Waze's Response
Read moreExploring Amazon's Algorithmic Suggestions Linked to Suicide Attempts: A Case 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.