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 & citationDisturbing YouTube Videos Allegedly Deceiving Children: A Case Study in AI Governance
Read moreRevising AI Practices: Controversial Software Company Embraces Change for Trustworthy AI
Read moreAnalyzing the COMPAS Recidivism Algorithm: A Step Towards Responsible AI
Read moreDebiasing Word Embeddings: Promoting Responsible AI for Gender Equality
Read moreStudy Reveals Bias and Inflexibility in AI's Civility Detection - Enhancing Trustworthy AI
Read moreGoogle's AI Incident Regarding Homosexuality: A Case Study in Responsible AI
Read moreAmazon Restricts Access to GLBT Books: An AI-Related Decision for Harm Prevention
Read moreApology from Google over Racially Biased Auto-Tagging Incident in Photo App
Read moreExploring Google's Emotional AI Mishap: The Need for Safe and Secure AI
Read moreUnveiling Gender Bias in Google Image Search: A Responsible AI Concern
Read moreCritical Worker Injured in Amazon Warehouse Bear Spray Incident: A Case for Safe and Secure 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.