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

Debunking the Myth: The Neural Net Tank Urban Legend - A Case Study in AI Governance

Explore the misconception surrounding the Neural Net Tank Urban Legend, a critical evaluation of its implications for AI safety and trust. T...

Unintended Consequences in Autonomous Driving: A Case Study of the Tesla Incident

This AI incident involving autonomous vehicles highlights the need for robust safety mechanisms in self-driving technology. This event maps...

Driverless Delhi Metro Train Accident: Understanding the Importance of Safe and Secure AI Governance

The recent Delhi Metro accident involving a driverless Magenta line train highlights the critical role of responsible AI governance. This in...

China Woman Claims Colleague's Face Unlocked iPhone X - Highlighting AI Incident and Govern Function in Project Cerebellum

A woman in China reported that her colleague was able to unlock her iPhone X using his face. This incident underscores the importance of rob...

Unauthorized Home Raids by Smart Speakers: An Examination of AI Incident

Exploring an alarming incident involving Amazon's Alexa, this article sheds light on the potential misuse of smart speakers for malicious ac...

Uncovering Potential Methods in Amazon's Echo Commercial Filter

This AI incident may reveal strategies employed by Amazon to suppress the activation of their Alexa device during commercial breaks, contrib...

Unintended Consequences of AI Algorithms: A Case Study

This AI incident highlights the importance of responsible AI governance, focusing on the safe and secure use of algorithms. It underscores t...

Unintended Consequences of Chinese AI: Face Recognition in Bus Ad Incident

An incident involving an unintended display of personal images on a bus advertisement highlights the need for responsible AI governance. Thi...

Sexist Recruiting Algorithm: An Unveiling of Amazon's Bias and the Need for Responsible AI

This incident underscores the potential risks of biased AI, highlighting Amazon's sexist recruiting algorithm. It emphasizes the need for tr...

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

In a tragic incident in Arizona, an autonomous Uber vehicle struck and killed a pedestrian, underscoring the importance of trustworthy AI go...

Elite: Dangerous AI Superweapon Incident: A Reminder for Responsible AI Governance

The unintended creation of superweapons by an Elite: Dangerous AI highlights the need for safeguards in AI development. This AI incident map...

Artificial Intelligence Generates Fake Obama Speech Highlighting Importance of Responsible AI Governance

The recent incident involving a fake Obama speech generated using AI underscores the need for trustworthy, safe, and secure AI. This AI inci...

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.