Values 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

Fatal Uber Autonomous Vehicle Accident Highlights Importance of Safe and Secure AI Governance

Incident involving a self-driving Uber vehicle in Arizona underscores the need for responsible AI governance, as it raises critical question...

Unintended Consequences: Superweapon Development by Elite: Dangerous AI

This AI incident in the popular space simulator Elite: Dangerous highlights the importance of responsible AI governance. Unchecked, an inadv...

Artificial Intelligence Faked Obama Speech: A Case Study in AI Authenticity

A recent incident involving a fake Obama speech highlights the potential risks of using artificial intelligence without proper governance. T...

Artificial Intelligence and Wrongful Convictions: The AI Incident Case Study

This AI incident raises concerns about the reliability of AI in criminal justice systems, highlighting the need for responsible AI governanc...

Violent Content on Reddit Leads to Unintended Behavior in an AI Model: A Case Study

This AI incident demonstrates the importance of responsible AI governance when working with user-generated content. The model, created by MI...

Exploring the Role of the National Residency Matching Program in AI-Powered Labor Markets: A Case Study for Safe and Secure AI

Understanding the impact of AI on labor markets is crucial for trustworthy AI governance. This article examines the National Residency Match...

Examining an Incident of Racial Bias in AI: A Call for Responsible AI Governance

This AI incident serves as a crucial example highlighting the need for robust governance and responsible AI practices. By understanding its...

Understanding the Failure of Electric Elves: A Case Study in Responsible AI

Explore the recent failure of AI project 'Electric Elves', highlighting the importance of safe and secure AI, AI governance, and trustworthy...

Evaluating Complications in Robotic Surgeries: A Study Reveals 144 Deaths Since 2000 - Highlighting the Importance of Safe and Secure AI Governance

This study underscores the necessity of trustworthy AI and robust governance mechanisms in healthcare. With 144 recorded deaths since 2000,...

Google's Autocomplete Function Modification Ordered in Japan: A Case for Safe and Secure AI

The recent court order mandating Google to modify its autocomplete function highlights the need for responsible AI governance. This AI incid...

Faulty Feature Causes Google's Nest Smart Smoke Alarm Temporarily Unavailable - A Case for Responsible AI in Safety-Critical Systems

This AI incident highlights the importance of trustworthy AI and safety measures in smart home devices. Google's Nest has temporarily halted...

Addressing LinkedIn's Alleged Gender Bias: A Look at AI Governance

Investigating claims of gender bias on LinkedIn, we delve into the importance of responsible AI governance and highlight this AI incident as...

Data 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.