What a machine learning tool that turns Obama white can (and can’t) tell us about AI bias
An exploration of a machine learning tool that manipulates images to portray former President Obama as white, revealing both its limitations...
Read moreValues 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
TAIM catalog Map Data source & citation Failure Files™The Best Algorithms Still Struggle to Recognize Black Faces
An exploration of the ongoing challenge faced by current algorithms in accurately recognizing Black faces, emphasizing the need for responsi...
Read moreThis girls-only app uses AI to screen a user’s gender — what could go wrong?
An app designed for girls-only uses AI to screen users' gender, raising concerns about responsible AI implementation, data privacy, and pote...
Read moreWhy Stanford Researchers Tried to Create a ‘Gaydar’ Machine
In an attempt to advance Artificial Intelligence (AI) research, Stanford researchers embarked on a project aimed at developing an AI system...
Read moreWhy AI Isn’t Providing Better Product Recommendations
Exploring why AI's performance in delivering accurate and beneficial product recommendations falls short, emphasizing the importance of resp...
Read morePopularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems
Explore the impact of popularity bias in collaborative filtering-based multimedia recommender systems, a common AI application. This bias ca...
Read more‘I’m the Operator’: The Aftermath of a Self-Driving Tragedy
Investigating the ethical, legal, and technological challenges that arise in the wake of an autonomous vehicle accident. Ensuring safe and s...
Read moreHow Wrongful Arrests Based on AI Derailed 3 Men's Lives
Explore how the misuse of AI in criminal justice systems can lead to catastrophic consequences, as three men recount their experiences with...
Read moreWhy Facebook is losing the war on hate speech in Myanmar
Exploring the challenges Facebook faces in its fight against hate speech in Myanmar, emphasizing the need for responsible AI governance and...
Read moreRohingya refugees sue Facebook for $150 billion over Myanmar violence
Rohingya refugees have filed a lawsuit against Facebook, claiming the social media giant failed to prevent hate speech and violence on its p...
Read moreHow Companies Learn Your Secrets
Explore how advanced AI systems, often used by companies for personalized services, can inadvertently collect sensitive user data. This arti...
Read moreHow Target Figured Out A Teen Girl Was Pregnant Before Her Father Did
Exploring the implications of AI predicting personal life events, this article sheds light on the instance where Target identified a teen gi...
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.