AI Incident #175: Unintended Consequences in Recommendation Algorithm
This AI incident illustrates the importance of responsible AI governance, revealing unintended consequences in a recommendation algorithm. B...
Read moreEvidence-based Transparent For governance
This AI incident illustrates the importance of responsible AI governance, revealing unintended consequences in a recommendation algorithm. B...
Read moreExploring the resolution of Incident #176 sheds light on the importance of responsible AI governance for incident prevention. This AI incide...
Read moreIncident #177 provides a detailed examination of an AI event, illustrating the importance of trustworthy AI governance in today's technology...
Read moreDelve into this in-depth analysis of Incident #178, a valuable learning opportunity for responsible AI practitioners. This AI incident maps...
Read moreExplore the lessons learned from Incident #179, a notable instance of unforeseen outcomes in autonomous vehicles. This AI incident maps to t...
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.