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

TAIM catalog Map Data source & citation Failure Files™

Gender Bias Complaints against Apple Card Signal a Dark Side to Fintech

Recent complaints about gender bias in the approval process of Apple Card highlight an urgent need for responsible AI governance in the fint...

Wrongfully arrested man sues Detroit police over false facial recognition match

A man falsely identified by facial recognition technology used by Detroit Police Department is suing the department. The incident raises con...

How a Discriminatory Algorithm Wrongly Accused Thousands of Families of Fraud

Recent incidents highlight the potential harm of discriminatory algorithms, as thousands of families were falsely accused of fraud. This und...

Twitter's Photo Crop Algorithm Favors White Faces and Women

A recent study revealed that Twitter's photo crop algorithm appears to favor white faces and women, raising concerns about safe and secure A...

California's “Equity” Algorithm Could Leave 2 Million Struggling Californians Without Additional Vaccine Supply

A California algorithm aimed at prioritizing vaccine distribution to underserved communities may inadvertently exclude up to 2 million vulne...

Tesla Says Autopilot Makes Its Cars Safer. Crash Victims Say It Kills.

In the ongoing debate over Autopilot, Tesla asserts its self-driving technology enhances safety while critics contend it may pose risks. Thi...

AI chatbot mired in legal dispute over data collection

A high-profile legal dispute has erupted over an AI chatbot, casting a shadow on the data collection practices within the AI sector. This in...

Surveillance group exposes disturbing Huawei patent for AI-powered Uighur detection

A surveillance group has uncovered a patent filed by Huawei that details an AI system designed to identify members of the Uighur ethnic mino...

Teen turned away from roller rink after AI wrongly identifies her as banned troublemaker

An unfortunate incident occurred at a roller rink, where a teenage girl was refused entry due to an error in the AI system. The AI incorrect...

This facial recognition website can turn anyone into a cop — or a stalker

Explore the implications of easily accessible facial recognition technologies, their potential for misuse as surveillance tools or stalking...

What Happens When An Algorithm Cuts Your Health Care

Explore a case study where an algorithm's decision in healthcare provision led to unintended consequences, underscoring the need for respons...

From Toxicity in Online Comments to Incivility in American News: Proceed with Caution

In a recent study, researchers analyzed over 500,000 articles generated by language models and discovered a concerning trend - the propensit...

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.