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

Unintended Consequences: The Impact of Algorithms on Healthcare Delivery

Explore a recent incident where an algorithm affected healthcare services, highlighting the importance of responsible AI governance in our s...

Algorithms Used by Amazon to Dismiss Flex Workers: A Look into AI Governance

Exploring the use of minimal human intervention in algorithms employed by Amazon for Flex workers dismissal, raising questions about safe an...

Accuracy Claims of SF Gunshot Sensors Challenged: A Case for Trustworthy AI

Courtroom testimony has cast doubt on the accuracy claims of SF gunshot sensors, emphasizing the importance of safe and secure AI in public...

Racial Bias in AI: Facebook Incident Highlights Need for Responsible AI Governance

The recent incident where Facebook incorrectly labeled a video of Black men as 'primates' underscores the importance of safe and secure AI....

Misidentification in Amazon's Face Recognition System: A Case Study on AI Incidents

This AI incident highlights the importance of safe and secure facial recognition technology. In a concerning turn of events, Amazon's face r...

Addressing AI Bias: The Closure of the Genderify Platform - Promoting Responsible AI

The AI-powered 'Genderify' platform faced closure following criticisms for bias-related issues, showcasing the importance of trustworthy and...

Misinterpretations in Amazon's AI-powered Camera System: A Case of Unfair Punishments

Recent incidents involving Amazon's AI camera system have highlighted the need for trustworthy AI. The system, designed to monitor driver be...

TikTok's Algorithm: Examining Accusations of Bias in AI Recommendations

Investigating claims that TikTok's algorithm may exhibit racial bias, we delve into the complexities of AI governance and its impact on cont...

Addressing Bias in AI: The Case of Islamophobia

Exploring an instance of AI bias, this article discusses the issue of Islamophobia in AI systems. This incident maps to the Govern function...

CEO's Controversial Letter Over Big Data & AI Analysis Leading to Mass Terminations at Xsolla - A Case Study on AI Governance

This incident involving the termination of 150 employees at Xsolla highlights the need for responsible AI use and governance. The company us...

Uncontrolled AI Experimentation Leads to Reddit Chaos - Emphasizing the Importance of Safe and Secure AI

A recent incident involving an unchecked GPT-3 bot on Reddit underscores the need for responsible AI governance. This AI incident maps to th...

Potential Use of Autonomous Weapons in Libya: A Cause for Concern in AI Governance

An investigation into the alleged use of a flying killer robot in Libya raises questions about the ethics and governance of autonomous weapo...

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.