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

Examining Incident #114: Unintended Consequences in AI Deployment

This article delves into a recent instance of an AI system's unforeseen consequences during deployment. The incident underscores the need fo...

AI Incident #115: Unintended Bias in Recommendation System

Recently, an AI-powered recommendation system used by a popular e-commerce platform displayed biased results, showing fewer products from un...

Case Study: AI Incident #116 - Navigating Responsible Decision-making

In this exploration, we delve into a real-life incident involving an autonomous vehicle's miscalculation in a busy intersection. The AI mode...

Examining Incident #117: Navigating the Challenges of Responsible AI Governance

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

The Impact of Unintended Consequences in AI System #118

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

Examining Incident #119: A Crucial Lesson in Safe and Secure AI

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

Exploring the Unintended Consequences of AI System #120

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

Investigating an AI Incident: Case Study #121

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

AI Incident 122: Unintended Autocomplete Suggestions Causing Data Breaches

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

Examining Incident #123: An Examination of AI Governance

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

Exploring Incident #124 in Responsible AI Governance

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

Exploring Incident 125: An Unforeseen Challenge in Responsible AI

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

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.