AI Incidents
Data source & citationDiscrimination through optimization: How Facebook's ad delivery can lead to skewed outcomes
Read moreThe English test that ruined thousands of lives
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Read moreFacebook Tried to Make Its Platform a Healthier Place. It Got Angrier Instead.
Read moreWhat a machine learning tool that turns Obama white can (and can’t) tell us about AI bias
Read moreThis girls-only app uses AI to screen a user’s gender — what could go wrong?
Read moreWhy Stanford Researchers Tried to Create a ‘Gaydar’ Machine
Read morePopularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems
Read moreRohingya refugees sue Facebook for $150 billion over Myanmar violence
Read moreTarget didn’t figure out a teen girl was pregnant before her father did
Read moreDriver Fined After Traffic Camera Thinks Pedestrian’s Shirt Is a License Plate
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.