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™

GM Cruise autonomous taxi pulled over by police in San Francisco without humans, 'bolts' off

In an unusual incident, a self-driving taxi from General Motors' Cruise autonomous fleet was pulled over by the police in San Francisco. The...

Here’s what happens when cops pull over a driverless Cruise vehicle

Explore the intricacies surrounding a recent incident involving a driverless Cruise vehicle being pulled over by law enforcement. The event...

Stand Against Proctorio's SLAPP, organized by Ian Linkletter

Recent legal actions taken by the company Proctorio, known for their AI-powered online proctoring services, have raised concerns over respon...

EFF Client Erik Johnson and Proctorio Settle Lawsuit Over Bogus DMCA Claims

In a significant step towards responsible AI governance, Erik Johnson, an Electronic Frontier Foundation (EFF) client, has settled his lawsu...

Incident #29

Exploring the lessons learned from incident #29, we delve into the challenges posed by unforeseen consequences in AI systems. This case stud...

Incident #103

Recent events surrounding the deployment of an autonomous driving application, Incident #103, have raised serious concerns about the safety...

Incident #104

Recent findings from Incident #104 reveal a concerning instance of unintended bias within an AI-powered recommendation system, which negativ...

Incident #105

Recent findings from a large-scale study reveal an unintended bias in autocomplete suggestions provided by a popular AI search engine. The b...

Incident #106

Incident #106 highlights an instance where the deployed AI model, intended for image recognition, exhibited a bias in its output. This demon...

Incident #107

Recent analysis of AI Incident Database unveiled an instance of unintended model bias in a financial predictive analysis system (Incident #1...

Incident #108

In this article, we delve into Incident #108, a case study that underscores the need for robust AI governance. The incident involved a self-...

Incident #109

This article delves into an instance (Incident #109) where a misconfigured autonomous vehicle's navigation system led to an accident, underl...

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.