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™

Incident #129

In this article, we delve into an intriguing case study - Incident #129. This event underscores the need for safeguards in Artificial Intell...

Incident #130

An AI model, implemented to predict patient outcomes in a hospital, produced unexpected and inaccurate predictions leading to misdiagnosis a...

Incident #131

Recently, a notable AI application encountered an unforeseen bias issue in its predictive modeling system. This AI was designed to analyze l...

Incident #132

Recent incident #132 highlights the potential risks of AI misuse, specifically within the financial services sector. In this case, an automa...

Incident #133

An analysis of a recent AI incident involving an autocomplete feature, highlighting the importance of responsible AI governance and harm pre...

Incident #134

In this article, we delve into Incident #134, a notable example of an unintended outcome in AI systems. This incident highlights the need fo...

Incident #135

This article delves into a recent AI incident (#135) to demonstrate the importance of safeguards and responsible AI governance. The mishap i...

Incident #136

A recent AI incident occurred when a predictive maintenance system implemented for industrial machinery started suggesting preventative main...

Incident #137

In this article, we delve into Incident #137, which underscores the significance of responsible AI governance. The incident involved an unan...

Incident #138

Exploring the intricacies of a recent AI incident, where an autonomous vehicle misinterpreted a stop sign, demonstrates the need for robust...

Incident #139

Recent incident involving AI-powered smart home devices highlights the importance of responsible data handling. A popular device was found t...

Incident #140

This article delves into a recent incident (#140) involving an autonomous vehicle, highlighting its unintended consequences and underscoring...

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.