Values 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

Examining a Stricter Turing Test Highlights the Limitations of AI-Powered Chatbots

The latest iteration of the Turing Test has revealed certain deficiencies in the performance of chatbot AI systems, emphasizing the need for...

Exploring Responsible AI in Action: Waze and the Los Angeles Wildfires

In the wake of the California wildfires, we delve into how Waze, a trusted navigation app, is implementing safe and secure AI to aid users i...

First-Day Accident of Self-Driving Shuttle: A Cautionary Tale for Safe and Secure AI Development

Exploring the lessons learned from the self-driving shuttle accident on its first day in operation, this incident maps to the Govern functio...

Tragic Incident at Volkswagen Plant Highlights Need for Safe and Secure AI: A Case Study of Trustworthy AI Governance

A recent incident involving a robot killing a worker in a Volkswagen plant underscores the importance of responsible AI governance. This AI...

California Accidents Involving Google and Delphi Autonomous Vehicles: A Case for Safe and Secure AI

Two recent accidents involving Google's Waymo and Delphi's self-driving cars in California highlight the need for trustworthy AI. These inci...

Face ID Hack Highlights Importance of Robust AI Security: Unlocking iPhone X with a Mask

Incident reveals vulnerabilities in Apple's Face ID system, underscoring the need for safe and secure AI. This AI incident maps to the Gover...

1983 Nuclear Disaster Averted: The Heroic Role of Stanislav Petrov in AI Governance

The close call in 1983, known as the 'Stanislav Petrov Incident', serves as a powerful reminder of the potential catastrophic consequences o...

Boeing 737 Max 8 Disaster: A Case Study on AI Safety, Leaking Abstractions and the Need for Governance

This AI incident involving Boeing's 737 Max 8 disaster highlights the importance of safe and secure AI. The misuse of abstraction leaks led...

Role of AI in 2010 'Flash Crash': Understanding the UK Speed Trader Incident and AI Governance

Exploring an incident involving a UK speed trader, this article sheds light on the potential role of AI in the 2010 'flash crash'. This AI i...

Exploring the Myth of the Neural Net Tank: Understanding AI Governance

Delve into the intriguing story behind the Neural Net Tank Urban Legend, highlighting its relevance to AI governance and trustworthy AI with...

Unforeseen Consequences: Tesla Autopilot Incident Highlights Importance of Responsible AI Governance

This Tesla Autopilot incident underscores the critical need for safe and secure AI governance. It maps to the Govern function in HISPI Proje...

Driverless Delhi Metro Train Crash: Mapping AI Incidents for Safe and Secure Transportation - Project Cerebellum

An unfortunate accident on the Delhi Metro's Magenta line today involves a driverless train crashing through a wall. This AI incident maps t...

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.