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

Unpatriotic AI Chatbot Mishap in China: Understanding the Need for Governance

A recent incident involving China's AI chatbots spreading unpatriotic messages highlights the importance of responsible AI governance. This...

Tesla Autopilot Incident: Demonstrating the Importance of Responsible AI Governance

A Tesla driver under the influence admitted to relying on the Autopilot system, highlighting the need for safe and secure AI. This incident...

Unusual Incident: AI-Powered Security Robot Malfunctions Near a Water Source

An unexpected event occurred when an AI-powered security robot malfunctioned, leading to it entering a water fountain. This AI incident serv...

AI-Controlled Robot Involved in Fatal Incident at Haryana's Manesar Factory: An Examination of Safe and Secure AI

This tragic incident highlights the need for responsible AI governance in industrial settings. The AI-controlled robot, operating in a facto...

Snow Blindness Incident in Autonomous Vehicles: Demonstrating the Need for Safe and Secure AI

A recent incident involving self-driving cars suffering from 'snow blindness' highlights the critical importance of trustworthy AI. When dri...

Responsible AI in Action: Google's Autonomous Vehicle Incident - Safe and Secure AI Matter

Explore the incident involving Google's self-driving car, which collided after another vehicle jumped a red light. This AI incident maps to...

Palestinian Man Arrested Due to AI Mishap in Facebook Translation System - Highlighting the Need for Responsible AI

An unfortunate incident occurred where a Palestinian man was wrongfully arrested, stemming from an AI mishap within Facebook's translation s...

Racial Bias in Augmented Reality: An Examination of Pokemon Go Incident

Exploring the unfortunate instance of racial bias in the popular AR game, Pokemon Go. This AI incident maps to the Govern function in HISPI...

Teachers Plan Appeals for Alleged Unfair AI Evaluations: A Reminder on the Importance of Safe, Trustworthy AI

Incident involving potential biases in AI-based education evaluations highlights the critical role of trustworthy AI. Join us in fostering r...

Teaneck NJ Bans Police Use of Facial Recognition Technology: A Step Towards Trustworthy AI

The township of Teaneck, NJ, has banned the use of facial recognition technology by its police force, citing concerns about bias and potenti...

Lawsuit Filed Over Alleged Bias in Google's Instant Search Results: A Case for Responsible AI Governance

A lawsuit has been filed in France against Google due to allegations of anti-Semitic results displayed on their Instant Search service. This...

Unauthorized Use of Live Facial Recognition on Minors Suspected of Crimes: An Incident Highlighting the Need for Trustworthy AI

This incident involving live facial recognition technology being used on minors raises concerns about privacy and potential misuse. It under...

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.