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

Unsafe Reward Functions in AI Systems: An Overview

Explore a recent incident involving faulty reward functions in an AI system, shedding light on the importance of safe and secure AI governan...

Self-Driving Uber Vehicle Violates Traffic Law: A Case Study in AI Governance

A self-driving Uber car ran a red light, highlighting the need for effective governance of autonomous vehicles and demonstrating how this AI...

Unpatriotic AI Mishap in China: Ensuring Responsible Chatbot Governance

An incident involving Chinese chatbots broadcasting unpatriotic messages highlights the importance of trustworthy AI governance. This AI inc...

Alarming Incident Highlights Importance of Trustworthy AI: Autopilot Malfunction

A Tesla driver's unfortunate encounter with law enforcement serves as a stark reminder of the need for safe and secure AI. The driver claime...

Security Robot Intriguingly Self-immerses in Water Feature: A Case Study on AI Incident Management

In a striking instance demonstrating the complexities of AI governance, a security robot inexplicably 'drowned itself' in a water fountain....

AI System Malfunction Leads to Tragic Incident at Manesar Factory - Emphasizing the Need for Responsible AI Governance

A recent incident in Haryana's Manesar factory highlights the potential dangers of improper AI governance. A robot, presumably operating und...

Snow Blindness Incident in Self-Driving Cars Highlights Need for Safe AI

Recent incident involving self-driving cars struggling on snowy roads underscores the importance of safe and secure AI. This AI incident map...

Responsible AI Incident: Google Self-Driving Car Collision due to Red Light Violation

Incident involving a self-driving car by Google resulted in a collision. The accident occurred when another vehicle jumped a red light, high...

Incident: Incorrect Translation Leads to Arrest - Highlighting the Importance of Responsible AI Governance

Facebook's mistake in translation resulted in a Palestinian man's arrest, underscoring the crucial role of trustworthy AI and robust governa...

Augmenting Reality with Pokemon Go: Exposing and Addressing Bias in AI

The popular augmented reality game, Pokemon Go, highlights the persistent issue of bias in artificial intelligence. By shedding light on thi...

Teachers Contemplate Widespread Appeals against Alleged Unfair AI Evaluations: A Case for Responsible AI Governance

This incident highlights the potential harm that biased or unfair AI evaluations can cause in educational settings, emphasizing the need for...

Teaneck NJ Bans Biased Facial Recognition Usage by Police: A Step Towards Trustworthy AI

Teaneck, New Jersey has prohibited the use of facial recognition technology by its law enforcement, highlighting concerns about potential bi...

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.