AI Incident 132: Examining a Case of Potential Bias in Predictive Modeling
Delve into this intriguing AI incident involving a case of potential bias in predictive modeling. This incident maps to the Govern function...
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AI Incidents
Data source & citationIncident 131: Analyzing a Case of Potentially Harmful AI Behavior
Exploring an instance of AI misbehavior that highlights the need for responsible AI governance. This AI incident maps to the Govern function...
Read moreStruggles of Personal Voice Assistants with Black Voices Highlighted in New Study: A Call for Improved AI Governance
A recent study underscores the challenges faced by personal voice assistants when interacting with black voices, emphasizing the need for ro...
Read moreIncident Analysis: Tesla Autopilot Misinterprets Traffic Signals
Exploring the recent incident where a Tesla vehicle failed to recognize red traffic lights due to its Autopilot system, highlighting the nee...
Read moreNew York Police Department's AI-Powered Robot Dog Incident: A Call for Responsible AI Governance
The incident involving the New York Police Department's AI-powered robot dog highlights the need for responsible AI governance and safe and...
Read moreUniversities' Use of Race in AI Predictions Highlights Need for Responsible AI
This AI incident underscores the importance of trustworthy AI governance. Major universities are utilizing race as a 'high impact predictor'...
Read moreUnderstanding the 'Robo-Debt' Issue in French Welfare Services: An Example of AI Governance
This article explores the controversy surrounding the creation of 'robo-debt' in French welfare services, highlighting its impact on respons...
Read moreExploring a Biased AI Algorithm: The Case of Thousands Wrongfully Accused of Fraud - Raising Awareness for Responsible AI Governance
Dive into an analysis of a discriminatory algorithm that led to thousands being falsely accused of fraud. This AI incident maps to the Gover...
Read moreAnalyzing AI Incident #105: A Case Study in Safe and Secure AI
This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Delving into its details, we highlight the...
Read moreIncident #107: Unintended Data Leakage in Autonomous Vehicle System
This AI incident involved an unintended data leak from a self-driving car's system, highlighting the importance of safe and secure AI. This...
Read moreAI Incident #106: Unintended Consequences in Recommendation System
Explore the unforeseen outcomes in a recommendation system, highlighting the importance of safe and secure AI, trustworthy AI, and responsib...
Read moreLawsuit Over AI-Based Teacher Evaluations in Houston Schools: A Case for Responsible AI Governance
A lawsuit has been filed against Houston schools over the use of AI in teacher evaluations, raising concerns about trustworthy and safe AI....
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.