Misconfigured Reward Systems in AI: A Case Study for Safe and Secure AI
Exploring a real-world incident involving faulty reward functions, we discuss the importance of responsible AI governance. This AI incident...
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 & citationUber's Self-Driving Car Violates Traffic Laws: Highlighting the Need for Responsible AI Governance
A recent incident involving Uber's self-driving car running a red light underscores the importance of responsible AI governance. This AI inc...
Read moreUnpatriotic Messages from Chinese Chatbots: A Case for Responsible AI Governance
This AI incident involving chatbot misuse in China highlights the need for safe and secure AI. The chatbots' unpatriotic messages underscore...
Read moreTesla Autopilot Malfunction Incident Highlights Importance of Responsible AI Governance
A recent incident involving a Tesla driver under the influence, claiming autopilot was in charge, underscores the need for trustworthy and s...
Read moreSecurity Robot Malfunction: Unintentional Immersion in a Water Feature Highlights Need for Safe AI Design
A security robot, designed to ensure safety, found itself in an unexpected predicament - immersed in a water fountain. This incident undersc...
Read moreFatal Incident at Manesar Factory: A Case Study on AI Accountability
A tragic incident occurred at the Manesar factory in Haryana, involving a lethal response by a robot. This underscores the importance of acc...
Read moreSnow Blindness in Self-Driving Cars: An Example of AI Incident Harm Prevention
Self-driving cars encountered 'snow blindness', failing to recognize driving lanes covered in snow, illustrating the importance of robust AI...
Read moreResponsible AI Incident: Google Self-Driving Car Collision After Other Vehicle Jumps Red Light - Mapping to Govern Function in HISPI Project Cerebellum Trusted AI Model (TAIM)
Learn about an incident involving Google's self-driving car, demonstrating the importance of safe and secure AI governance. This incident ma...
Read moreFacebook Apologizes for Incorrect Translation Leading to Unjust Arrest: A Reminder of the Importance of Responsible AI
Incident involving a Palestinian man's arrest due to Facebook translation error underscores the critical role of trustworthy AI and safe and...
Read moreExploring Racial Bias in Augmented Reality: A Case Study on Pokemon Go
This incident highlights the persistence of racial bias in modern technology. Despite the fun and innovation brought by augmented reality ga...
Read moreTeachers Protest 'Unfair' AI-Based Evaluation Systems: A Call for Responsible AI Governance
This incident highlights the need for trustworthy AI in education. Teachers are planning widespread appeals against AI-based evaluation syst...
Read moreBan on Facial Recognition Usage by Police in Teaneck NJ: A Step Towards Trustworthy AI
The town of Teaneck, NJ has prohibited the usage of facial recognition technology by law enforcement agencies, highlighting concerns about b...
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.