Incident #177
Incident #177 highlights an instance where the implementation of an AI model led to unforeseen consequences, emphasizing the need for robust...
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AI Incidents
TAIM catalog Map Data source & citation Failure Files™Incident #178
Incident #178 underscores the importance of robust guardrails for AI, highlighting the consequences of insufficient harm prevention measures...
Read moreIncident #179
Recently, our team encountered an incident involving unintended model drift in Project Cerebellum's AI model. This instance underscores the...
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.