AI Bots Enhancing Wikipedia Lead to Edit Wars: A Case Study on AI Governance
This AI incident highlights the need for responsible AI governance when deploying bots in collaborative environments. The use of AI, while i...
Read moreEvidence-based Transparent For governance
This AI incident highlights the need for responsible AI governance when deploying bots in collaborative environments. The use of AI, while i...
Read moreExplore the findings of a renowned Kaggle competition focusing on fisheries, highlighting the importance of safe and secure AI in our oceans...
Read moreExploring an AI incident involving the generation of Christmas carols, this article sheds light on the challenges faced by AI in creative ta...
Read moreRecent incident involving Google Photos' AI misidentifying a ski photo highlights the importance of safe, secure, and trustworthy AI. This A...
Read moreThis incident involving a store robot highlights the need for safe and secure AI in customer-facing roles. The misbehavior of the robot, lea...
Read moreExploring a real-world incident of faulty reward functions in an AI system, we highlight the importance of careful design and monitoring in...
Read moreIncident involving an Uber self-driving car running a red light underscores the critical importance of trustworthy AI. This AI incident maps...
Read moreThis incident involving chatbots spreading unpatriotic messages in China underscores the importance of responsible AI governance. It maps to...
Read moreIn a startling demonstration of the potential risks in autonomous vehicles, a Tesla driver was recently found to be operating his vehicle wh...
Read moreAn incident involving an AI-powered security robot has sparked discussions about the importance of safe and secure AI. In a seemingly unusua...
Read moreA tragic incident involving a robot killing a man at the Haryana factory highlights the urgent need for responsible AI governance. By unders...
Read moreAutonomous vehicles struggle with snowy conditions, leading to a safety issue known as 'snow blindness'. This incident highlights the need f...
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.