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
Data source & citationThe Role of The DAO in AI Governance: A Case Study
Read moreBias in AI Judging: A Beauty Contest Case Study - Preventing Harm through Responsible AI Governance
Read moreAI Border Control Malfunction: Rejection of Photo Due to Closed Eyes - Emphasizing the Importance of Responsible AI
Read moreGender Bias Allegations in LinkedIn's Search Engine: An Examination of AI Governance
Read moreTemporary Suspension of Google's Nest Smart Smoke Alarm Sales Due to Functionality Issue – Highlighting the Importance of Safe and Secure AI
Read moreResponsible AI and Algorithmic Defamation: An Analysis of the Shameless Autocomplete Incident
Read moreUnveiling the Electric Elves Mishap: Understanding Responsible AI Governance
Read moreExamining Racial Bias in AI Systems: A Key Challenge for Responsible AI
Read moreLeveraging AI for Fair Labor Market Solutions: A Case Study on the National Residency Matching Program
Read moreUnpredictable AI Behavior Beyond Business Hours: A Case Study
Read moreDebiasing Word Embeddings: Redefining AI Gender Stereotypes - Towards Trustworthy AI
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.