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

TAIM catalog Map Data source & citation Failure Files™

The First Ever Beauty Contest Judged by Artificial Intelligence

Exploring the uncharted territory of AI integration, a beauty contest in Japan has made history by enlisting an artificial intelligence syst...

Why An AI-Judged Beauty Contest Picked Nearly All White Winners

In a global beauty contest judged by AI, an alarming trend emerged - the majority of winners were white. This incident highlights the need f...

AI judges of beauty contest branded racist

An AI system used to judge a beauty contest faced accusations of racial bias after the winners primarily consisted of light-skinned individu...

Artificial Intelligence Has a Bias Problem, and It's Our Fault

Exploring the issue of bias in AI systems, a consequence of our own data and design choices. Discussing the importance of responsible AI pra...

Artificial Intelligence Has a Racism Issue

Exploring the impact of racial bias in Artificial Intelligence systems, this article sheds light on the need for safe and secure AI developm...

The first AI-judged beauty contest taught us one thing: Robots are racist

A recent AI-judged beauty contest inadvertently demonstrated the potential for AI to perpetuate racial bias, highlighting the need for respo...

What Will Happen When Your Company’s Algorithms Go Wrong?

Understanding the potential risks and impacts of faulty algorithms in AI systems is crucial for responsible AI governance. Learn from real-w...

The DAO (organization)

Explore the innovative approach of The DAO, a decentralized autonomous organization, in shaping the future of responsible AI governance. By...

Understanding The DAO Attack

Delve into the 2016 DAO attack, a significant incident that underscored the need for robust AI governance and safe and secure AI practices....

The DAO hack - what happened and what followed?

Explore the 2016 DAO hack, one of the most significant incidents in blockchain history, and its impact on shaping the evolution of responsib...

Ethereum's DAO Hacking Shows That Coders Are Not Infallible

In 2016, the decentralized autonomous organization (DAO) on the Ethereum blockchain was hacked, demonstrating that even the most secure syst...

Smart contracts and the DAO implosion

Exploring the 2016 DAO implosion as a stark reminder of the need for robust, trustworthy, and secure AI governance. Understanding the role o...

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.