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 & citationA South Korean Chatbot Shows Just How Sloppy Tech Companies Can Be With User Data
Read moreSurveillance group exposes disturbing Huawei patent for AI-powered Uighur detection
Read moreThe Best Algorithms Still Struggle to Recognize Black Faces
Read moreThis facial recognition website can turn anyone into a cop — or a stalker
Read moreWhat Happens When An Algorithm Cuts Your Health Care
Read moreAmazon is using algorithms with little human intervention to fire Flex workers
Read moreCourtroom testimony reveals accuracy of SF gunshot sensors a ‘marketing’ ploy
Read moreFacebook Apologizes After A.I. Puts 'Primates' Label on Video of Black Men
Read moreAmazon’s Face Recognition Falsely Matched 28 Members of Congress With Mugshots
Read moreAI-Powered ‘Genderify’ Platform Shut Down After Bias-Based Backlash
Read moreAmazon’s AI Cameras Are Punishing Drivers for Mistakes They Didn’t Make
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.