Incident: New Zealand Passport Robot Displays Racial Bias towards Applicant of Asian Descent
An incident occurred at a passport robot in New Zealand where an applicant of Asian descent was instructed to 'open your eyes' repeatedly du...
Read moreValues 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 & citationAI Bias in Beauty Pageants: Judgment Based on Skin Tone
An AI system used to judge a beauty contest displayed racial bias, favoring lighter-skinned contestants over those with darker skin tones. T...
Read moreAI BIAS REVEALED: Beauty Contest Highlights Lack of Diversity in AI Algorithms
An AI-judged beauty contest, with 6,000 participants, unexpectedly showed a bias towards white contestants. This raises concerns about the l...
Read moreInnovative Approach: AI as a Beauty Pageant Judge
Exploring the uncharted territory of AI integration, a beauty contest in Japan has made history by enlisting an artificial intelligence syst...
Read moreAI Bias Revealed in a Global Beauty Contest: Most Contestants Were White
In a global beauty contest judged by AI, an alarming trend emerged - the majority of winners were white. This incident highlights the need f...
Read moreRacial Bias Allegations in AI-Powered Beauty Contest
An AI system used to judge a beauty contest faced accusations of racial bias after the winners primarily consisted of light-skinned individu...
Read moreUnderstanding and Addressing Bias in Artificial Intelligence
Exploring the issue of bias in AI systems, a consequence of our own data and design choices. Discussing the importance of responsible AI pra...
Read moreAddressing Bias in AI: A Call for Responsible Governance
Exploring the impact of racial bias in Artificial Intelligence systems, this article sheds light on the need for safe and secure AI developm...
Read moreAI-Judged Beauty Contest Raises Concerns about Bias
A recent AI-judged beauty contest inadvertently demonstrated the potential for AI to perpetuate racial bias, highlighting the need for respo...
Read morePreventing AI Incidents: The Consequences of Failing Algorithms
Understanding the potential risks and impacts of faulty algorithms in AI systems is crucial for responsible AI governance. Learn from real-w...
Read moreDAO: A Pioneer in Decentralized Governance for Responsible AI
Explore the innovative approach of The DAO, a decentralized autonomous organization, in shaping the future of responsible AI governance. By...
Read moreInvestigating The DAO Attack: A Case Study in Responsible AI Incident Analysis
Delve into the 2016 DAO attack, a significant incident that underscored the need for robust AI governance and safe and secure AI practices....
Read moreData 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.