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 & citationRobotics Company AI Statement on Destructive Capabilities Raises Concerns over Responsible AI
Read moreFacebook Struggles to Combat Misinformation: COVID-19 and Voting False Claims Bypass Fact Checks
Read moreRevealing the Controversy Behind Spam Filters: A Deep Dive into AI Governance
Read moreThe Lekki Massacre: Investigating the Misinformation Surrounding the October 20 Incident - A Case for Trustworthy AI
Read moreUncovering Bias in Chest X-Ray AI Models: A Call for Responsible AI
Read moreHuman-Robot Interaction Mishap: AI Mistakes Ref's Bald Head for Football Ball
Read moreAlgorithm Bias Leads to Denial of Kidney Transplants for Black Patients: A Case for Responsible AI
Read moreUnveiling the Critical AI Decision-Making System Impacting University Admissions
Read moreExamining the Disparity between Expected and Real-World AI Performance: A Case Study - Mapping to Govern Function in HISPI Project Cerebellum Trusted AI Model (TAIM)
Read moreUnwarranted Use of Live Facial Recognition on Suspected Minor Offenders: A Case Study in AI Ethics
Read moreTesla Autopilot Incident on Hwy 101: Demonstrating the Importance of 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.