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

Lion Air Crash: Analyzing the AI System Failure Through a Responsible Lens - Indonesia

The Lion Air crash of 2018 highlighted an AI system failure, with black box data revealing pilots' struggle to regain control. This AI incid...

Analysis of Police Report Reveals AI Role in Tempe Incident

This incident sheds light on the complexities of AI governance, highlighting its potential role in public safety scenarios. The report and a...

Analyzing Incidents in Robotic Surgery: A 14-Year Review of FDA Data - Highlighting the Importance of Safe and Secure AI

This study explores adverse events in robotic surgery, shedding light on the need for trustworthy AI. By delving into 14 years of FDA data,...

10 Concerning Instances Highlighting the Need for Safe and Secure AI - Powered by Project Cerebellum

Explore ten eye-opening instances where AI malfunctioned, demonstrating the importance of trustworthy AI. Learn how you can help establish g...

Ten Alarming Examples Illustrating the Need for Safe and Secure AI: A Call to Action for Responsible AI Governance

This article examines ten AI incidents, each highlighting potential risks in unregulated AI development. These examples map to the Govern fu...

10 Eye-Opening Instances Showcasing the Importance of Responsible AI Governance - AI Incident Database

Explore these 10 instances where AI systems malfunctioned or caused harm, emphasizing the need for safe and secure AI. This AI incident maps...

Examining the Impact of New York City's Value-Added Data on AI (Part 2): Promoting Safe and Secure AI Governance

In this article, we delve deeper into the released NYC value-added data and discuss its implications on artificial intelligence. This incide...

AI Incident: Unpredictable Operating Hours - Embracing Responsible AI Governance

Experience an unexpected shift in operating hours? This AI incident highlights the need for robust AI governance, ensuring safe and secure A...

Near-Miss Incident Between Two Autonomous Vehicles: Highlighting the Need for Safe and Secure AI

This incident involving a driverless car near-miss with a Google car underscores the importance of responsible AI governance in road safety....

Soviet Nuclear False Alarm Incident: A Cautionary Tale on AI Governance

This historic incident underscores the importance of responsible AI and safe and secure systems. The false alarm, triggered by an AI system,...

Face ID Breach Claim: Highlighting the Importance of Secure AI Systems

In the week following the iPhone X release, hackers claimed they managed to bypass Face ID, emphasizing the significance of secure and trust...

The 2010 Flash Crash: An Illustration of the Need for Responsible AI Governance

On May 6, 2010, a rapid sequence of events triggered the largest one-day stock market drop in history - the infamous 'Flash Crash'. This AI...

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.