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 #117

Incident #117 underscores the need for robust governance in ensuring safe and secure AI development. This incident, involving a self-driving...

Incident #118

Last week, an unexpected event occurred in AI System #118 developed by XYZ Tech. The incident highlighted the importance of responsible AI g...

Incident #119

Incident #119 sheds light on a critical lapse in Responsible AI governance, demonstrating the need for robust safeguards in our artificial i...

Incident #120

Recent events have highlighted an unforeseen issue involving AI System #120, developed by a leading tech company. The system, designed to st...

Incident #121

Exploring a recent instance of AI misuse, we delve into the details of Incident #121, where an autonomous vehicle navigational system failed...

Incident #122

Recent AI incident #122 highlights the importance of responsible AI governance in preventing data breaches. An unintended autocomplete featu...

Incident #123

Recently, an incident involving AI (Incident #123) has raised concerns about the responsible use and governance of artificial intelligence....

Incident #124

Incident #124 highlights a critical juncture in the journey towards safe and secure AI. The incident, involving an unforeseen response from...

Incident #125

This article delves into a fascinating case study, Incident #125, that highlights the challenges of ensuring safe and secure AI. The inciden...

Incident #126

An autonomous vehicle manufacturer encountered an unexpected incident where their AI model misinterpreted a road sign, leading to erratic be...

Incident #127

Recent incident involving an autonomous vehicle demonstrates the need for responsible AI governance and harm prevention measures. The vehicl...

Incident #128

This case study explores an incident involving AI model XYZ, which inadvertently breached user privacy during data processing. The incident...

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.