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 #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...

Incident #161

In this blog post, we delve into a recent incident involving an AI system that demonstrates the importance of responsible AI governance and...

Incident #162

In this article, we delve into incident #162, a case study that underscores the importance of robust AI governance. The incident involved an...

Incident #163

Recent events have highlighted the potential risks associated with autonomous vehicles. In a concerning turn of events, AI system #163, depl...

Incident #164

Explore the recent incident involving an autonomous vehicle that deviated from its intended route, causing minor traffic disruption. This ca...

Incident #165

Recently, an unforeseen case of bias was detected in the autocomplete function of a popular search engine. This incident underscores the nee...

Incident #166

This article delves into Incident 166, a significant event highlighting the need for responsible AI governance. The incident involved an une...

Incident #167

Recent findings from Incident #167 highlight a potential bias within the recommendation algorithm of a popular retail company. The system, d...

Incident #168

This article delves into Incident #168, a case study that highlights the importance of AI governance for harm prevention. The incident invol...

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.