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

Analyzing the Myth of the Neural Net Tank in AI: A Responsible Approach

Dive into the urban legend of the Neural Net Tank, a controversial topic in AI development. This analysis underscores the importance of trus...

Exploring an Unfortunate Incident in Autonomous Vehicles: The Tesla Case

This AI incident involving a Tesla vehicle sheds light on the importance of responsible AI governance in autonomous vehicles. It maps to the...

Driverless Delhi Metro Train Crashes: Understanding the Role of Responsible AI in Preventing Incidents

An unfortunate accident involving a driverless Magenta line train occurred in Delhi today, demonstrating the importance of safe and secure A...

iPhone X Face ID Vulnerability Demonstrated in China: A Case for Responsible AI and Safe & Secure AI Practices

A Chinese woman reported that her iPhone X could be unlocked by a colleague's face, highlighting the importance of responsible AI and trustw...

Unauthorized Use of AI Assistants for Malicious Purposes: Alexa Raids Case

This incident highlights the potential misuse of AI assistants like Alexa. It underscores the need for trustworthy, responsible, and safe AI...

Potential mechanism behind Amazon Echo's ad-related deactivation: A closer look

This intriguing observation sheds light on the possible technique Amazon employs to prevent Alexa from activating during commercials, promot...

Unintended Termination by Algorithm: An Examination of AI Accountability

Exploring a case of inexplicable termination by algorithm, this article underscores the need for robust AI governance and trustworthy AI pra...

Face Recognition Failure Highlights Importance of Safe and Secure AI: Chinese Bus Ad Incident

This AI incident, involving a Chinese bus advertisement, highlights the need for trustworthy AI. The failure to correctly identify faces und...

Examining Amazon's Recruiting Algorithm: Uncovering Potential Bias in AI

This investigation uncovers the alleged gender bias in Amazon's recruiting algorithm, highlighting the need for trustworthy and responsible...

Fatal Self-Driving Uber Accident Highlights Need for Responsible AI Governance - Case Study for Project Cerebellum's Trusted AI Model

Incident: A self-driving Uber car fatally struck a pedestrian in Arizona, underscoring the importance of safe and secure AI. This AI inciden...

Elite: Dangerous AI Incident: Unintended Superweapon Development - A Case Study in Safe and Secure AI

Exploring an AI incident within Elite: Dangerous where unforeseen circumstances led to the development of superweapons. This AI incident map...

Deepfake Video of Former President Obama Demonstrates AI Risks

A deepfake video of former U.S. President Barack Obama highlights the potential dangers of artificial intelligence if not properly governed....

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.