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 & citationAnalyzing a Fake Speech Generated by AI: An Important Lesson in Trustworthy AI
Read moreElite: Dangerous AI Superweapon Incident Demonstrates Need for Responsible AI Governance
Read moreAmazon's Alexa Mishap: An Unwanted Police Raid Incident - Highlighting the Importance of Trustworthy AI
Read moreExploring the Govern Function: UK Speed Trader Arrested Over 2010 Flash Crash Incident
Read moreInvestigating the Myth of the Neural Net Tank in AI Governance
Read moreUnforeseen Consequences: An Examination of the Tesla Incident in AI Governance
Read moreDriverless Delhi Metro Train Accident: Mapping Incidents for Safe AI Governance
Read moreAI Incident: iPhone X Biometric Security Breach in China
Read moreUnintended Consequences: Understanding AI Terminations - Emphasizing the Importance of Responsible AI
Read moreAssessing Hiring Algorithms for Bias: A Crucial Step Towards Trustworthy AI - Join Project Cerebellum
Read moreAI Incident: Unintended Misuse of Facial Recognition in Chinese Advertising - A Call 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.