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

Robot Assistance Gone Awry: Understanding the Impact on Safe and Secure AI

An AI-powered robot, hired to aid customers, inadvertently scared them away instead. This incident serves as a reminder of the importance of...

Dangerous AI: Faulty Reward Functions Impacting Safety

Exploring a critical AI incident involving faulty reward functions, highlighting the importance of safe and secure AI. This AI incident maps...

Uber's Self-Driving Car Violates Traffic Regulations: Emphasizing the Need for Trustworthy AI

An Uber self-driving car was recently caught running a red light, underscoring the importance of responsible AI governance in self-driving v...

Unpatriotic AI Messages Lead to Discipline of China's Chatbots - A Case for Responsible AI Governance

Incident involving China's chatbots highlights the importance of responsible AI governance and safe AI practices. This AI incident maps to t...

Tesla Autopilot Incident Highlights Importance of Responsible AI Governance

A recent incident involving a Tesla driver under the influence raises questions about AI governance. The driver claimed Autopilot was in cha...

AI-Powered Robot Malfunction: Incident at a Water Fountain - Highlighting the Need for Safe and Secure AI

An unfortunate incident involving an AI-powered security robot occurred when it inadvertently entered a water fountain, leading to a malfunc...

Unforeseen Consequence: Tragic Incident Involving AI-Controlled Robot in Haryana Factory

This unfortunate incident involving a robotic arm operated by an AI system at a factory in Manesar, Haryana, underscores the need for safe a...

Snow Blindness in Self-Driving Cars: An Unsafe AI Incident

A self-driving car incident highlights the dangers of poor weather conditions on AI systems. This AI incident maps to the Govern function in...

Responsible AI: Google Self-Driving Car Incident - Red Light Jumper Causes Collision

Incident involving Google's self-driving car highlights the need for safe and secure AI systems. This AI incident maps to the Govern functio...

Facebook's Translation Mishap Leads to Unwarranted Arrest: A Case for Responsible AI

A Palestinian man was wrongly arrested due to a Facebook translation error, underscoring the need for trustworthy and safe AI. This incident...

Racial Bias in Augmented Reality Games: The Case of Pokemon Go and the Importance of Trustworthy AI

Pokemon Go, an augmented reality game enjoyed globally, has been criticized for its racial bias. This highlights the need for trustworthy AI...

Teachers Plan Widespread Appeal Against Biased AI Evaluations – Emphasizing the Need for Trustworthy AI

This incident highlights the challenges of using AI in education, where biased evaluations can lead to unfair results. This AI incident maps...

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.