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

Boeing 737 Max 8 Incident: Unveiling the Role of AI in Leaking Abstractions

Explore the AI safety implications of the Boeing 737 Max 8 incident, highlighting the importance of 'leaking abstractions' and the role they...

Incident Analysis: The Role of AI in the 2010 Flash Crash - Emphasizing Responsible AI Governance

Exploring the potential impact of AI on the 2010 Flash Crash, this analysis underscores the importance of responsible AI governance and trus...

Debunking the Neural Net Tank Urban Legend: A Call for Responsible AI Governance

This analysis of the Neural Net Tank urban legend sheds light on the importance of safe and secure AI, emphasizing the role of Project Cereb...

Tesla's AI Incident: The Importance of Safe and Secure Autonomous Vehicles

Incident involving Tesla vehicles highlights the need for trustworthy AI in autonomous driving. This AI incident maps to the Govern function...

Driverless Delhi Metro train crash highlights the need for Safe & Secure AI: Learn about Project Cerebellum's Trusted AI Model

A tragic incident occurred on the Delhi Metro's Magenta line, where a driverless train crashed through a wall. This AI incident underscores...

China: Colleague's Facial Recognition Unlocks Woman's iPhone X - Highlighting Need for Safe and Secure AI

An intriguing incident occurred in China, where a woman's iPhone X was reportedly unlocked by her colleague's face. This underscores the imp...

Unauthorized Use of Alexa Leads to Home Raid Incident: A Case Study in AI Misuse

This AI incident involving an unauthorized use of Amazon's Alexa device resulted in a home raid, highlighting the importance of responsible...

Uncovering Potential Guardrails for AI: Amazon's Commercial-Free Echo Activation Strategy

Exploring possible mechanisms to maintain safe and secure AI operation, this article sheds light on potential strategies employed by Amazon...

Incident Analysis: Unraveling Algorithmic Decisions - Emphasizing the Need for Trustworthy AI

Exploring an instance of an algorithmic decision gone awry, this analysis underscores the critical importance of responsible AI and trustwor...

Examining a Questionable Chinese AI Ad Incident: The Role of Responsible AI Governance

This AI incident highlights the need for robust governance in AI systems. A Chinese ad using facial recognition technology incorrectly ident...

Testing Hiring Algorithms for Bias: An Examination of AI Governance

Exploring the complexities of testing hiring algorithms for bias, this article sheds light on the importance of AI governance in ensuring sa...

Fatal Self-Driving Uber Accident Highlights Need for Responsible AI Governance

This tragic incident involving a self-driving Uber vehicle underscores the importance of safe and secure AI. The fatality in Arizona raises...

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.