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

Stanislav Petrov's Pivotal Role in Preventing a Nuclear Disaster: A Case Study in AI Governance

Explore the critical incident of 1983, where the vigilance of Stanislav Petrov prevented a potential nuclear disaster. This AI incident maps...

Boeing 737 Max 8 Disaster: An Example of AI Safety Concern - Leaking Abstractions and Trustworthy AI

Explore the Boeing 737 Max 8 disaster, an unfortunate example highlighting the importance of leaking abstractions in AI safety. This inciden...

Flash Crash of 2010: A Case Study on AI Responsibility and Governance

Exploring the role of an AI trading system in the 2010 'flash crash', highlighting the importance of trustworthy, safe, and secure AI. This...

Exploring The Neural Net Tank Urban Legend: An Insight into Responsible AI

Dive into the fascinating world of urban legends with our investigation of The Neural Net Tank. This case study highlights potential risks a...

Exploring an Incident: Autonomous Vehicles and Safety in Tesla's AI

This AI incident involving Tesla's autonomous vehicles highlights the importance of safe and secure AI, underlining the need for robust gove...

Driverless Delhi Metro Train Crash: An Incident Highlighting the Need for Responsible AI Governance

Incident report: A driverless Magenta line train in Delhi crashed through a wall, underscoring the importance of safe and secure AI. This AI...

China: Face Recognition Incident Highlights Importance of Responsible AI Governance

In an intriguing development, a woman in China claimed her colleague was able to unlock her iPhone X using his face. This incident underscor...

Unauthorized Home Raiding by Smart Speaker: A Case Study in AI Misuse and Need for Responsible AI

Exploring an alarming incident where a smart speaker was manipulated to falsely implicate a user, raising concerns about the safety and secu...

Uncovering potential strategies for preventing AI activation in advertisements: The case of Amazon Echo

Explore a fascinating discovery on how Amazon may prevent the Alexa-enabled Echo device from activating during commercials, shedding light o...

Unintended Termination of Employment Caused by Algorithm: Understanding AI Accountability

This AI incident highlights the need for transparency and accountability in algorithmic decision-making, emphasizing the importance of trust...

Unintended Consequence: Face Recognition Failure in Chinese Bus Ad

This incident highlights the importance of responsible AI governance. A Chinese bus ad using face recognition technology mistakenly approved...

Testing Hiring Algorithms for Bias: An Exercise in Responsible AI and Harm Prevention

The challenge of eliminating bias from hiring algorithms is under scrutiny by auditors. This AI incident maps to the Govern function in HISP...

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.