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 & citationResponsible AI in Focus: Assessing Google's Autonomous Vehicles Incidents in California
Read moreExploring Potential Risks in Google's Ad Targeting System: A Cautionary Tale for Responsible AI
Read moreAmazon's AI-Powered Content Moderation Aims to Protect Users from Harmful Content - Project Cerebellum
Read moreApology Issued by Google over Racist Auto-Tag Incident in Photo App - Emphasizing the Importance of Responsible AI
Read moreExploring Google's Emotional AI: The Case of Persistent 'I Love You'
Read moreUnveiling the Subtle Bias in Google Image Search: A Case Study for Responsible AI
Read moreInvestigation of Critical Amazon Warehouse Worker's Bear Spray Incident Highlights Importance of Safe and Secure AI
Read moreExposing Chatbot Limitations: A Case Study in AI's Journey Towards Trustworthy Intelligence
Read moreLessons Learned from the First Day Mishap of a Self-Driving Shuttle: Embracing Responsible AI Governance
Read moreResponsible AI in Action: Analyzing Waze's Response to Los Angeles Wildfires
Read moreUnraveling the Mystery Behind Algorithmic Dismissals: A Call for 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.