Addressing Bias in AI: The Racist in the Machine Incident
Exploring an incident highlighting racial bias in an AI system, demonstrating the need for responsible AI governance and the importance of P...
Read moreValues Statement: We believe AI should cause no harm, but enhance the quality of human life, by proactively adopting our AI Governance framework.
Evidence-based Transparent For governance
AI Incidents
Data source & citationIncident Analysis: The Malfunction of Electric Elves – Ensuring Safe, Trustworthy AI
Exploring the breakdown of the Electric Elves AI system and its implications for responsible AI governance. This AI incident maps to the Gov...
Read moreRobotic Surgery Incidents: Highlighting the Importance of Safe AI in Surgical Tools
A recent study reveals a notable number of complications during robotic surgery, with 144 deaths reported since 2000. This AI incident maps...
Read moreGoogle's Autocomplete Function Alteration Directed by Court - A Case Study on AI Governance
The court order for Google to modify its autocomplete function in Japan highlights the importance of safe and secure AI. This AI incident ma...
Read moreTemporarily Suspended Sale of Google Nest Smart Smoke Alarm: A Case Study in AI Incident Management and Responsible AI Governance
The recent halt in sales of Google's Nest Smart Smoke Alarm raises awareness for the importance of trustworthy AI. This incident maps to the...
Read moreInvestigating Allegations of Potential Bias in LinkedIn's AI: A Call for Responsible AI Governance
This incident raises concerns about potential gender bias in LinkedIn's AI systems. As a responsible AI advocate, it is crucial to ensure th...
Read moreBiased AI Incident: New Zealand Passport Robot Discriminates against Applicants of Asian Descent
An unfortunate incident involving a New Zealand passport robot demonstrates the urgent need for trustworthy AI. The robot told an applicant...
Read moreUnderstanding AI Incidents: The Importance of Govern Function in Trustworthy AI
Explore real-world examples of AI incidents, and learn how they map to the 'Govern' function within the HISPI Project Cerebellum Trusted AI...
Read moreUnderstanding Pivotal Blockchain Events: The DAO, The Hack, The Soft Fork, and The Hard Fork - Insights for Safe and Secure AI
Explore the pivotal blockchain events that shaped the cryptocurrency landscape - The DAO, The Hack, The Soft Fork, and The Hard Fork. This a...
Read moreExploring the Incident with Tay, a Pivotal Moment in AI History
Dive into the analysis of the infamous Tay incident, a chatbot that sparked a conversation about responsible AI and the need for trustworthy...
Read moreSilicon Valley: A Case Study on the Importance of Safe and Secure AI - Mall Security Robot Incident
Exploring the incident involving a mall security robot knocking down and running over a toddler, this article underscores the necessity of t...
Read moreExamining the Joshua Brown Self-Driving Car Incident: A Case for Responsible AI Governance
The tragic incident involving Joshua Brown, who lost his life in a self-driving car accident, underscores the importance of trustworthy AI a...
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.