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 & citationBacklash Against Birth Control App Highlights Need for Responsible AI Governance
Read moreInvestigating the Mishap of Electric Elves: Ensuring Responsible AI
Read moreDeepfake of Former President Obama Highlights Need for AI Governance
Read moreThe Limits of Crime Prediction Algorithms: A Case Study
Read moreExploring the Ethical Dilemma: The Psychopathic AI 'Norman' - Understanding Responsible AI
Read moreLeveraging the National Residency Matching Program for Safe and Secure AI Labor Markets
Read moreUnderstanding and Addressing Unwanted Bias in AI: The Importance of Responsible AI
Read moreExamining Potential Gender Bias in LinkedIn's Search Engine - Enhancing Trustworthy AI
Read moreBias in Beauty Contest Judged by AI: An Example of Unfair AI Practices
Read moreAI Incident: Robot Passport Checker Denies Entry to Man Due to Closed Eyes (Asian Bias Possibility), Highlighting Need for Responsible AI
Read more6 Incidents Highlighting the Need for Responsible AI Governance
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.