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 & citationUnintended remark by AI highlights importance of responsible AI governance
Read moreGovernment Grading: Failing Algorithms and the Need for Responsible AI Governance
Read moreBias in UK Passport Photo Checker: Impact on Dark-Skinned Women Highlights Need for Trustworthy AI
Read moreAI Incident: Jewish Baby Stroller Misclassification – The Need for Responsible AI
Read moreYouTube's Radicalization Trap: An AI Incident Case Study
Read moreApology for Exclusion of Front-line Doctors in COVID-19 Vaccine Plan: A Case Study for Responsible AI
Read moreExamining Gender Bias Issues in Apple Card: A Case Study on Responsible Fintech AI
Read moreFacebook Accused of Enabling Housing Discrimination: An Important AI Incident for Responsible AI Governance
Read moreCourt Challenges 'Discriminatory' Deliveroo Rider Algorithm: Ensuring Trustworthy AI
Read moreFacial Analysis Cessation in Job Screening Services Highlights Importance of Trustworthy AI
Read moreLawsuit Over Teacher Evaluation Using AI Highlights Need for Responsible AI Governance
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.