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AI Incidents

TAIM catalog Map Data source & citation Failure Files™

Why 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...

Popularity 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...

‘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...

How 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...

Why 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...

Rohingya 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...

How Companies Learn Your Secrets

Explore how advanced AI systems, often used by companies for personalized services, can inadvertently collect sensitive user data. This arti...

How 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...

Target didn’t figure out a teen girl was pregnant before her father did

A 15-year-old girl in the UK was mistakenly labeled as 'female' by Target's AI system, despite being pregnant. The system failed to detect h...

Driver Fined After Traffic Camera Thinks Pedestrian’s Shirt Is a License Plate

An AI-powered traffic camera mistakenly identified a pedestrian's shirt as a license plate, leading to a fine for the driver in question. Th...

The Pain Was Unbearable. So Why Did Doctors Turn Her Away?

Exploring the instance where AI misdiagnosed a patient's rare condition, causing unnecessary suffering. Emphasizing the need for responsible...

Hundreds of AI tools have been built to catch covid. None of them helped.

Exploring the challenges faced by hundreds of AI tools designed to aid in COVID-19 detection, and the lessons learned for building responsib...

Data 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.