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 & citationLawsuit Filed over Alleged Anti-Semitic Google Instant Search Results: A Call for Responsible AI
Read moreControversial Use of Live Facial Recognition: Tracking Children Accused of Crimes
Read moreAI-Equipped Police Robot's Unusual Response to Crime Report: A Case Study for Trustworthy AI
Read moreExploring the Role of a Confidential AI Model in Higher Education Access Decisions
Read moreAlgorithm Bias Leads to Denial of Kidney Transplants for Black Patients: An Example of AI Incident Harm
Read moreHilarious AI Mishap: Confusing Ref's Bald Head with Football – Emphasizing Need for Responsible AI
Read moreUnveiling Racial, Gender, and Socioeconomic Bias in Chest X-Ray AI Classifiers: A Call for Trustworthy AI
Read moreFacebook's Content Labeling in the Lekki Massacre Incident: A Look at Responsible AI
Read moreAnalyzing Controversies Surrounding Efficient Spam Filters in AI Governance
Read moreEscaping Fact Checks: How Subtle Alterations Fool Facebook's COVID-19 and Voting Misinformation Filters
Read moreAI Statement Raises Concerns About Harm Prevention in AI Development
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.