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 Employee Causes Customer Fear in Retail Store: An AI Incident Mapping to the Govern Function in HISPI Project Cerebellum Trusted AI Model (TAIM)

In this AI incident, a robot intended to assist customers in a retail store instead instilled fear, leading to a decrease in customer traffi...

Misconfigured Reward Systems: A Cautionary Tale for Safe AI Deployment

Exploring an incident involving faulty reward functions in the wild, this article highlights the importance of responsible AI governance and...

Uber's Self-Driving Vehicle Violates Traffic Regulations: A Reminder of the Need for Safe and Secure AI

Incident involving Uber's self-driving vehicle running a red light highlights the importance of trustworthy AI. This AI incident maps to the...

Unpatriotic Messages from Chinese Chatbots: An Incident in AI Governance

Incident involving chatbots disseminating unpatriotic messages highlights the importance of safe and secure AI. This AI incident maps to the...

Tesla Autopilot Incident: An Examination of AI Accountability

Exploring the responsibilities of AI systems, this incident involving a Tesla driver highlights the need for trustworthy and accountable aut...

Unusual Incident: AI-Powered Robot Malfunctioning in a Water Fountain - A Case Study for Responsible AI

This intriguing incident involving an AI-powered security robot accidentally entering a water fountain raises concerns about AI safety and g...

Man dies in AI-controlled robot accident at Manesar factory – Incident mapped to Govern function in Project Cerebellum Trusted AI Model

Incident involving a fatality due to an AI-controlled robot malfunction occurred at a factory in Haryana's Manesar. This tragic event unders...

Impact of Snow on Self-Driving Cars: A Case Study on Visibility Issues

Exploring the challenges faced by self-driving cars in snowy conditions, known as 'snow blindness', and its impact on lane detection systems...

Responsible AI and Safe Driving: Analyzing the Google Self-Driving Car Collision Incident

This AI incident, involving a collision between Google's self-driving car and another vehicle that jumped a red light, underscores the need...

Incident: Facebook Apologizes for Incorrect Translation Leading to Unwarranted Arrest - Emphasizing the Importance of Safe and Secure AI

Facebook recently issued an apology following an incident where a Palestinian man was arrested due to incorrect translation. This unfortunat...

Racial Bias in Augmented Reality Apps: Pokemon Go Case Study

Exploring an instance of racial bias in the popular AR app, Pokemon Go, this article underscores the importance of responsible AI governance...

Appeal for Fair Evaluations in AI-assisted Education: A Call to Action for Responsible AI Governance

This AI incident involving teachers' appeals of 'unfair' evaluations underscores the need for trustworthy, safe, and secure AI. This maps to...

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.