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 & citationUnderstanding the Impact of AI on Healthcare: An Examination of an AI Incident
Read moreFacial Recognition Website Highlights Need for Responsible AI Governance
Read moreStruggles in Facial Recognition Systems for Darker Skin Tones: A Case for Responsible AI
Read moreDisturbing Patent Exposure Highlights Need for Responsible AI Governance: Huawei's AI-Powered Uighur Detection
Read moreUnwanted Behavior by Police Robot: Singing Instead of Responding to Crime Report
Read moreExamining Racial Bias in Augmented Reality: The Case of Pokemon Go
Read moreTeachers Plan Appeals Against Biased AI Evaluation Systems - Harm Prevention in AI Incidents
Read moreWrongful Arrests Traced Back to AI: A Case for Responsible AI Governance
Read moreLawsuit Over Anti-Semitic Google Search Results Highlights Importance of Safe and Secure AI
Read moreTracking Minors Suspected of Criminal Activity Using Live Facial Recognition: A Case for Responsible AI Governance
Read moreAI Misidentifying Human Features: A Case Study - Importance of 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.