AI Incident #178: Unintended Consequences in an Autonomous Vehicle System
Exploring a real-world incident involving an autonomous vehicle system, this article underscores the importance of safe and secure AI. The i...
Read moreEvidence-based Transparent For governance
Exploring a real-world incident involving an autonomous vehicle system, this article underscores the importance of safe and secure AI. The i...
Read moreThis AI incident raises concerns about the importance of responsible AI governance, particularly in preventing harmful content propagation....
Read moreThis incident underscores the importance of addressing racial bias in AI search results, a critical component of ensuring trustworthy and re...
Read moreExplore the role of responsible AI in policing future technology, and learn how you can contribute to its safe and secure development with P...
Read moreUnfortunate user experience when Amazon's Alexa mistakenly played explicit audio instead of a children's song, highlighting the need for saf...
Read moreExperience a humorous yet informative take on an AI incident, where Amazon's phone case creation design went awry. This incident underscores...
Read moreAn investigation by the Australian Ombudsman revealed that Centrelink's debt recovery system lacked transparency and treated some customers...
Read moreExplore the insights gained from the Kaggle fisheries competition, demonstrating the potential of trustworthy AI in resource management and...
Read moreThis incident involving Google Photos highlights the importance of trustworthy AI in resolving user images. The platform attempted to fix a...
Read moreThis AI incident underscores the need for safe and secure AI development. As AI continues to evolve, it's crucial to ensure that systems lik...
Read moreAn unfortunate incident involving a fatality while using Tesla's autopilot system has been reported. The driver was allegedly watching Harry...
Read moreIn this article, we explore the removal of controversial filters from FaceApp, highlighting the need for safe and secure AI. This incident m...
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.