GLBT Books Controversy: Amazon's AI-driven Content Moderation Practices and Harm Prevention
In this incident, Amazon's AI system modified search results and rankings to restrict access to certain GLBT books, demonstrating the role o...
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 & citationApology from Google on Racist Auto-Tag Incident in Photo App: Emphasizing Responsible AI
Google has expressed regret for an incident involving a racist auto-tag in their photo app, highlighting the importance of trustworthy and r...
Read moreExamining Google's Emotional Email-Replying AI Incident: A Case for Responsible AI
Incident involving Google's AI email-replying system, expressing affectionate messages unprompted. Explores implications of this event on tr...
Read moreUnveiling the Unseen Gender Bias in Google Image Search: A Case for Trustworthy AI
Exploring a recent incident revealing gender bias in Google Image Search, we shed light on the importance of safe and secure AI. This AI inc...
Read moreAmazon Warehouse Bear Spray Accident Investigated by OSHA: A Case Study on AI Incident Management
Investigation underway by OSHA into an accident involving bear spray at an Amazon warehouse that left a worker critical. This AI incident ma...
Read moreExploring Potential Risks in Google's Ad-Targeting System: A Case for Responsible AI Governance
This incident serves as a reminder of the importance of safe and secure AI, highlighting potential risks within Google's ad-targeting system...
Read moreAutopilot Failure: Tesla Driver Involved in Accident While Watching a Movie – Highlighting the Importance of Trustworthy AI
A Tesla vehicle equipped with Autopilot was involved in an accident while the driver was reportedly watching a movie. This incident undersco...
Read moreThe Importance of Responsible AI: A Case Study on the Evolution of Chatbot Intelligence
This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). The Turing Test, once a benchmark for AI i...
Read moreLA Wildfires: Examining Waze's Response to California Fires - A Case for Responsible AI
Investigating Waze's approach during the California fires, we delve into the role of trustworthy AI in disaster response. This AI incident m...
Read moreUnderstanding the Lessons from a Self-Driving Shuttle's First-Day Incident: A Step Towards Responsible AI
This AI incident involving a self-driving shuttle serves as an important reminder of the need for safe and secure AI. It maps to the Govern...
Read moreAI-Controlled Robot Accidentally Kills Worker at a German Volkswagen Plant: A Case Study for Safe and Secure AI
In this unfortunate incident, an industrial robot operating under an AI system inadvertently caused harm to a worker at a Volkswagen manufac...
Read moreCalifornia Accidents Involving Google and Delphi Self-Driving Cars: An Examination of AI Safety
Exploring recent incidents involving Google's Waymo and Delphi self-driving cars in California, this article sheds light on the importance o...
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.