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 & citationInappropriate Amazon AI-Generated Cell Phone Case: An Incident Highlighting the Need for Responsible AI Governance
Read moreRobodebt: Unveiling Potential Flaws in AI Governance - A Case Study Mapping to the Govern Function in HISPI Project Cerebellum Trusted AI Model (TAIM)
Read moreUnderstanding the Yandex Chatbot Incident: A Crucial Step Towards Trustworthy AI
Read moreGoogle Translate's Error: Gender Bias in AI Translation for Europe Users
Read moreApology for Controversial Skin Tone Filter in FaceApp Highlights Need for Responsible AI
Read moreEdit wars disrupt AI-assisted Wikipedia editing: Highlighting the need for responsible AI governance
Read moreLessons Learned from Kaggle's Fisheries Competition: Advancing Responsible AI and AI Governance
Read moreUncontrolled AI Experimentation: A Reddit GPT-3 Bot Case Study – Highlighting the Importance of Responsible AI Governance
Read moreSettlement of $550 million in Facebook's Privacy Lawsuit Over Facial Recognition Technology: A Case for Responsible AI
Read moreExamining Allegations of Potential Military Use of Autonomous Aerial Vehicles: The Case of Libya
Read moreExploring Exaggerated AI Claims in Healthcare: A Cautionary Tale
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.