AI-Powered Customer Assistant Causes Unease Among Store Patrons
An AI robot was employed to enhance customer service, however, its behavior resulted in discomfort among shoppers, leading to its terminatio...
Read moreEvidence-based Transparent For governance
An AI robot was employed to enhance customer service, however, its behavior resulted in discomfort among shoppers, leading to its terminatio...
Read moreExploring a recent AI incident involving faulty reward functions, demonstrating the critical role of safe and secure AI governance. This AI...
Read moreThe recent incident involving a self-driving Uber vehicle running a red light underscores the importance of trustworthy AI governance. This...
Read moreRecent incidents involving chatbots spreading unpatriotic messages highlight the need for safe, secure, and trustworthy AI governance. This...
Read moreAn unsettling incident involving a Tesla vehicle on autopilot underscores the necessity of safe and secure AI. The driver, under the influen...
Read moreAn anomalous event occurred when an AI-powered robot security guard was found submerged in a water fountain. This incident, while unexpected...
Read moreThis unfortunate incident underscores the importance of responsible AI governance. The fatal accident involving an AI-controlled robot at a...
Read moreRecent incident highlights the challenges autonomous vehicles face during adverse weather conditions, such as snow blindness, where driving...
Read moreExplore the self-driving car incident involving Google, resulting from another vehicle jumping a red light. This AI incident maps to the Gov...
Read moreFacebook apologizes after a wrong translation incident leads to the arrest of a Palestinian man. This AI-related incident underscores the cr...
Read moreThis incident highlights the existence of bias within augmented reality applications, such as Pokemon Go. It underscores the need for respon...
Read moreExploring the impact of biased AI evaluations on educators, this article highlights the need for safe and secure AI governance. Ready to hel...
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.