Incident 126: Unintended Inference Leads to Privacy Concerns
An autonomous vehicle manufacturer encountered an unexpected incident where their AI model misinterpreted a road sign, leading to erratic be...
Read moreEvidence-based Transparent For governance
An autonomous vehicle manufacturer encountered an unexpected incident where their AI model misinterpreted a road sign, leading to erratic be...
Read moreRecent incident involving an autonomous vehicle demonstrates the need for responsible AI governance and harm prevention measures. The vehicl...
Read moreThis case study explores an incident involving AI model XYZ, which inadvertently breached user privacy during data processing. The incident...
Read moreIn this article, we delve into an intriguing case study - Incident #129. This event underscores the need for safeguards in Artificial Intell...
Read moreAn AI model, implemented to predict patient outcomes in a hospital, produced unexpected and inaccurate predictions leading to misdiagnosis a...
Read moreRecently, a notable AI application encountered an unforeseen bias issue in its predictive modeling system. This AI was designed to analyze l...
Read moreRecent incident #132 highlights the potential risks of AI misuse, specifically within the financial services sector. In this case, an automa...
Read moreAn analysis of a recent AI incident involving an autocomplete feature, highlighting the importance of responsible AI governance and harm pre...
Read moreIn this article, we delve into Incident #134, a notable example of an unintended outcome in AI systems. This incident highlights the need fo...
Read moreThis article delves into a recent AI incident (#135) to demonstrate the importance of safeguards and responsible AI governance. The mishap i...
Read moreA recent AI incident occurred when a predictive maintenance system implemented for industrial machinery started suggesting preventative main...
Read moreIn this article, we delve into Incident #137, which underscores the significance of responsible AI governance. The incident involved an unan...
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.