Snow Blindness in Self-Driving Cars: A Case Study on Safe and Secure AI Operations
Recent incident involving self-driving cars highlights the challenges of autonomous vehicles in adverse weather conditions. This AI incident...
Read moreEvidence-based Transparent For governance
Recent incident involving self-driving cars highlights the challenges of autonomous vehicles in adverse weather conditions. This AI incident...
Read moreThis AI incident involving Google's self-driving car highlights the need for safe and secure AI, particularly in autonomous vehicles. The co...
Read moreIn a concerning incident, a Palestinian man was arrested due to a mistranslation by Facebook's AI system. This underscores the importance of...
Read moreThe augmented reality game Pokemon Go has become a cultural phenomenon, yet it highlights persistent issues of racial bias in technology. Th...
Read moreThis incident underscores the critical role of responsible AI in education, highlighting potential biases in evaluations. Join us in ensurin...
Read moreTeaneck NJ has banned facial recognition usage by police, raising concerns over bias and potential misuse. This AI incident maps to the Gove...
Read moreThis incident underscores the importance of trustworthy AI and its governance, particularly in sensitive areas such as search results. The c...
Read moreThis case underscores the urgent need for robust AI governance and trustworthy AI practices. By raising awareness about this AI incident, we...
Read moreAn AI-powered police robot encountered an unusual incident, responding to a crime report by singing a song instead of assisting. This AI inc...
Read moreDelve into an analysis of a college admission algorithm, understanding its implications for students. This AI incident maps to the Govern fu...
Read moreExploring a troubling incident involving an AI-based transplant algorithm that seemingly favored white patients, this article highlights the...
Read moreAn amusing incident involving an AI system mistaking a referee's bald head for a football highlights the importance of responsible AI govern...
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.