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 & citationExamining Machine Bias: A Crucial Step Towards Trustworthy AI
Read moreMinor Accesses Inappropriate Content Through AI Digital Assistant: Harm Prevention in AI Incidents
Read moreAmazon AI Error in Cell Phone Case Production: Unsuitable Design (NSFW)
Read moreUncovering Robodebt Issues: A Step Towards Safe and Secure AI Governance
Read moreUnderstanding the Role of Responsible AI in the Yandex Chatbot Incident - Join Us
Read moreGoogle Translate Mistakes: Gender Misclassification of Professions Revealed
Read moreApology for Controversial Skin-Toning Filter in FaceApp: A Case Study in AI Responsibility
Read moreEdit Wars on AI-Powered Wikipedia Bots Highlight Need for Responsible AI Governance
Read moreLearning Responsible AI Practices through Kaggle's Fisheries Competition
Read moreWriting Christmas Carols: An Example of AI's Shortcomings in Music Composition
Read moreResponsible AI: Google Photos Alteration Incident - A Case for Trustworthy 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.