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 & citationControversial Software Company Revises Policies After AI Incident Backlash - Embracing Responsible AI
Read moreExploring the COMPAS Recidivism Algorithm: A Step Towards Responsible AI Harm Prevention
Read moreChallenges in Debiasing Word Embeddings: A Key Step Towards Trustworthy AI
Read moreStudy Reveals Bias and Inflexibility in AI's Civility Detection - Emphasizing the Need for Responsible AI
Read moreGoogle's AI Incident Reveals Importance of Responsible AI: Homosexuality Misinterpretations
Read moreAmazon's Intervention in GLBT Book Rankings for User Safety: An Instance of Responsible AI
Read moreApology from Google over Racist Auto-Tag Incident in Photo App Highlights Need for Responsible AI
Read moreGoogle's Emotional AI Incident: Expressing Affection in Email Responses
Read moreUnveiling Unintended Gender Bias in Google Image Search: A Call for Responsible AI Development
Read moreInvestigation into Critical Bear Spray Incident at Amazon Warehouse Highlights Need for Safe AI Governance
Read moreExploring the Ethical Implications of Google's Ad-Targeting System: A Look at Responsible 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.