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 & citationUnintended Consequence: Retail AI Fails to Identify Pregnant Teen
Read moreAI Misinterpretation Leads to Traffic Fine: Pedestrian's Shirt Mistaken for License Plate
Read moreThe Painful Dilemma: AI in Healthcare Decision Making - Case Study
Read moreUnsuccessful AI Tools in Covid-19 Detection: A Call for Responsible AI Development
Read moreUnmasking Deceptive AI: The Rise of Fake Profiles
Read moreExploring the Response of Autonomous Vehicles in Law Enforcement Interactions: A Case Study on Cruise Vehicles
Read moreAssessing Responsible AI: Google's YouTube Kids App and Inappropriate Content
Read moreAmazon Workers Hospitalized After Robot Mishap Involving Bear Spray - Illustrating the Importance of Safe and Secure AI
Read moreIndonesia's Lion Air Crash: Uncovering the AI-Pilot Interaction Challenges - A Case for Responsible AI
Read moreReleased Police Report Reveals Details on AI Incident: Safe and Secure AI in Action
Read moreBias in Online Advertisement Delivery: An Examination of AI Incidents
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.