AI Incident: Computer Program Mistakes Leading to Wrongful Imprisonment
Exploring an unfortunate AI incident where a computer program misinterpreted data, leading to wrongful imprisonment. This AI incident maps t...
Read moreValues Statement: We believe AI should cause no harm, but enhance the quality of human life, by proactively adopting our AI Governance framework.
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AI Incidents
Data source & citationAI Incident: MIT Psychopath AI - Unregulated Data Feeding Risks
An incident involving an AI developed by MIT researchers raises concerns about the impact of unmonitored data sources. The AI, labeled a 'ps...
Read moreThe National Residency Matching Program: A Key Component of Trustworthy AI's Labor Market Function
This analysis explores the National Residency Matching Program (NRMP) as a crucial element in the labor market function of Project Cerebellu...
Read moreExamining a Bias Incident in AI: The Importance of Trustworthy AI
This AI incident highlights the need for responsible governance and guardrails in AI development. By understanding and addressing biases suc...
Read moreUnderstanding the Failure of Electric Elves: A Case Study in Responsible AI
Explore the recent incident involving Electric Elves, a prime example of an unforeseen challenge in AI governance. This AI incident maps to...
Read moreRobotic Surgery Incidents Highlight Need for Responsible AI Governance: 144 Deaths Since 2000
This AI incident, involving robotic surgery complications, underscores the importance of trustworthy and safe AI governance. With over 140 d...
Read moreGoogle Ordered to Modify Autocomplete Function: A Case for Safe and Secure AI
In an instance highlighting the importance of trustworthy AI, Google was mandated to alter its autocomplete function in Japan. This AI incid...
Read moreFaulty Feature Causes Temporary Suspension of Google Nest Smart Smoke Alarm Sales - Highlighting the Importance of Safe and Secure AI
A recent incident involving Google's Nest smart smoke alarm has led to a temporary halt in sales. This AI-powered device, designed to ensure...
Read moreAddressing Alleged Bias in LinkedIn's AI Recommendations: A Case for Responsible AI Governance
Exploring the recent controversy over gender bias in LinkedIn's AI recommendations, this article underscores the importance of trustworthy A...
Read moreBiased AI Incident: New Zealand Passport Robot Denies Applicant of Asian Descent Based on Race
This discriminatory incident highlights the urgent need for responsible AI governance. The robot, designed to process passport applications,...
Read moreUnderstanding Consequences of AI Incidents in Businesses: A Guide to Responsible AI Practices
Uncover the potential repercussions when AI algorithms falter within a corporate environment. Learn about responsible AI governance and how...
Read moreUnderstanding Key Events in the History of The DAO: A Lesson in Responsible AI Governance
Explore the fascinating story behind The DAO, from its hack to its subsequent forks. This incident sheds light on the importance of trustwor...
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.