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

Exploring the Limits of AI: The Latest Challenge to Chatbot Intelligence

Delve into the latest Turing Test results, revealing the imperfections in chatbot intelligence. This AI incident maps to the Govern function...

Managing Wildfires Safely: A Look at Waze's Response to Los Angeles Fires - Exploring Trustworthy AI

Analyzing Waze's approach during the LA wildfires, this incident sheds light on safe and secure AI operations in emergency situations. This...

First-Day Accident of Self-Driving Shuttle: A Lesson in Responsible AI Harm Prevention

This incident highlights the importance of safe and secure AI, particularly in autonomous vehicles. It maps to the Govern function in HISPI...

AI-controlled Robot Accidentally Kills Worker at Volkswagen Plant – Highlighting the Need for Responsible AI

A tragic incident occurred at a Volkswagen plant in Germany where an AI-controlled robot killed a worker, underscoring the importance of tru...

California's Autonomous Vehicles Incidents Highlight the Importance of Safe and Secure AI - Google, Delphi Self-Driving Cars

This incident involving Google and Delphi self-driving cars in California underscores the need for trustworthy AI governance. Understanding...

Apple's Face ID Breached: Importance of Safe and Secure AI in Authentication Systems

Recent incident involving the bypassing of Apple's Face ID system highlights the need for robust, trustworthy AI solutions in authentication...

Avertive of Global Nuclear Disaster: The Heroic Act of Stanislav Petrov (1983) - A Case Study in AI Governance

In 1983, the world narrowly avoided a nuclear disaster thanks to the quick thinking and vigilance of Soviet military officer Stanislav Petro...

Boeing's 737 Max 8 Incident: A Case Study on AI Safety and Leaking Abstractions

Explore the tragic Boeing 737 Max 8 incident, where leaking abstractions in AI design may have played a role. This AI incident maps to the G...

Role of AI in 2010 'Flash Crash': Insights from UK Speed Trader Incident

Explore the potential involvement of AI algorithms in the 2010 stock market 'flash crash'. This incident maps to the Govern function in HISP...

The Misconception of the Neural Net Tank Urban Legend: An Examination of AI Governance

Exploring the unfounded belief of a self-driving tank powered by neural nets, this article sheds light on the importance of AI governance. T...

Tesla Autopilot Incident: A Case for Safe and Secure AI Governance

Incident involving Tesla's Autopilot system raises concerns about AI safety and the need for robust governance mechanisms. This AI incident...

Driverless Delhi Metro Train Accident Maps to Govern Function: Safe & Secure AI Advocacy Needed - Project Cerebellum

A driverless Magenta line train of the Delhi Metro crashed through a wall today, emphasizing the need for improved AI governance and trustwo...

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.