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 #149

Recent events have highlighted the necessity of maintaining trustworthy artificial intelligence (AI) systems. Incident #149 underlines the i...

Incident #150

Incident #150 highlights a significant instance of unforeseen consequences arising from an autonomous vehicle's decision-making process. The...

Incident #151

This article delves into AI incident #151, which exposed an unforeseen implication when an autonomous system failed to adapt to a unique sit...

Incident #152

Recently, an incident involving unintended bias in a recommendation system used by a popular e-commerce platform came to light. The AI, desi...

Incident #153

Incident #153 highlights an instance where an autonomous vehicle, designed for improving urban mobility, faced unintended consequences. The...

Incident #154

In this post, we delve into a recent incident involving an AI recommendation system exhibiting unintended bias. The system, designed to sugg...

Incident #155

This article delves into the findings of AI Incident #155, highlighting its implications for safe and secure AI practices. The incident unde...

Incident #156

Recently, an AI-powered loan approval system at a major bank displayed unforeseen bias against certain demographic groups. This incident hig...

Incident #157

In this insightful article, we delve into a recent instance, Incident #157, which underscores the importance of safe and secure AI. The inci...

Incident #158

An examination of a recent incident involving AI, where an unanticipated behavior occurred, showcasing the need for robust responsible AI go...

Incident #159

In an instance demonstrating the importance of AI governance, a self-driving car's autonomous system malfunctioned, leading to an accident....

Incident #160

Dive into a detailed examination of Incident #160, a significant event that highlights the need for responsible AI practices. This case stud...

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.