Snow Blindness in Self-Driving Cars: A Case Study for AI Incident Prevention
Incident involving self-driving cars experiencing 'snow blindness' highlights the need for robust AI systems and governance. This AI inciden...
Read moreValues Statement: We believe AI should cause no harm, but enhance the quality of human life, by proactively adopting our AI Governance framework.
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AI Incidents
Data source & citationResponsible AI Incident: Google Self-Driving Car Accident - Red Light Disregard Highlights Need for AI Governance
A recent accident involving a self-driving car from Google demonstrates the importance of safe and secure AI operation. In this instance, an...
Read morePalestinian Man Mistakenly Arrested Due to Facebook AI Mishap: Highlighting the Need for Responsible AI Governance
Facebook recently apologized for a significant AI incident that led to the wrongful arrest of a Palestinian man. This AI mishap underscores...
Read moreRacial Bias in Augmented Reality: Pokemon Go as a Case Study
Exploring the concerning issue of racial bias in augmented reality games, we highlight the instance of Pokemon Go and discuss its implicatio...
Read moreTeachers Plan Widespread Appeals of Allegedly Unfair AI Evaluations: A Case for Responsible AI Governance
This incident highlights the potential for biased AI evaluations in educational settings, emphasizing the need for trustworthy AI and approp...
Read morePromoting Responsible AI: Teaneck, NJ Bans Police Use of Facial Recognition Due to Bias Concerns - Harm Prevention in Action
In the spirit of trustworthy AI, Teaneck, New Jersey has taken a significant step towards safe and secure AI governance by banning the usage...
Read moreLawsuit Over Anti-Semitic Google Instant Results Highlights Importance of Safe and Secure AI
The recent lawsuit against Google in France over allegedly anti-semitic results displayed by Google Instant emphasizes the need for trustwor...
Read moreUnsafe Use of Live Facial Recognition in Tracking Minors Suspected of Criminal Activity - A Case for Responsible AI Governance
This incident highlights the need for trustworthy AI governance, as live facial recognition was misused to track minors suspected of crimina...
Read moreMalfunctioning Police Robot Sings Instead of Assisting: A Reminder for Responsible AI
An incident involving a malfunctioning police robot that sang instead of assisting a woman who was trying to report a crime highlights the n...
Read moreExploring the AI Model Ensuring College Admissions Fairness: A Look into Its Functions
Delve into the algorithm designed to uphold fair college admissions, aligning with the Govern function in HISPI Project Cerebellum Trusted A...
Read moreAlgorithm Bias: Case Study of Barred Kidney Transplants for Black Patients - Highlighting Importance of Responsible AI
This alarming incident sheds light on the potential harm an unchecked algorithm can cause. It's a stark reminder of why trustworthy AI, safe...
Read moreFootball Ref AI Mishap: Ensuring Trustworthy AI for Harm Prevention
In an amusing incident, an AI referee mistakenly identified a football referee's bald head as the ball. This underscores the importance of r...
Read moreData 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.