Government Grading on Algorithms: A Dismal Performance - Highlighting Responsible AI
The Leaving Cert algorithm fiasco underscores the urgent need for responsible AI governance. Improving this situation is not just about fixi...
Read moreValues 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 & citationBias in UK Passport Photo Checker: A Case Study of Harmful AI Impact on Dark-Skinned Women
This AI incident highlights the need for responsible AI governance, particularly in critical areas such as identity verification. It maps to...
Read moreAI Incident: Jewish Baby Stroller Misclassification – A Call for Trustworthy AI
Recent AI incident involving misclassification of a Jewish baby stroller highlights the need for responsible AI governance. This incident ma...
Read moreYouTube's Role in Radicalization: The Christchurch Shooter Incident - Examining Harm Prevention and Safe AI
This tragic incident involving the Christchurch shooter raises important questions about AI governance and radicalization on platforms like...
Read moreStanford's Initial Vaccine Distribution: Focus on Medical Residents
Understanding AI incident distribution is crucial for trustworthy AI. This vaccine allocation case maps to the Govern function in HISPI Proj...
Read moreApple Card Gender Bias Incident Highlights Importance of Trustworthy AI in Fintech
This AI incident involving Apple Card maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). The incident undersco...
Read moreFacebook Charged for Enabling Housing Discrimination: An Unfortunate AI Incident Mapping to the Govern Function in Project Cerebellum's Trusted AI Model
The U.S Department of Housing and Urban Development (HUD) has charged Facebook with enabling housing discrimination through its targeted adv...
Read moreDeliveroo Uses Controversial, Discriminatory AI Algorithm - Understanding the Incident in Light of Responsible AI Governance
Explore a recent court ruling on Deliveroo's AI-based algorithm, which allegedly displayed discriminatory practices. This AI incident maps t...
Read morePause in Job Screening Service's Use of Facial Recognition for Applicant Analysis - Emphasizing AI Governance
Recent halt in the use of facial analysis by a job screening service underscores the need for robust governance in AI. This incident maps to...
Read moreLawsuit Over Teacher Evaluation AI System in Houston Schools Highlights Importance of Trustworthy AI
The lawsuit against the AI-powered teacher evaluation system in Houston schools underscores the critical role of safe and secure AI. This AI...
Read moreMisinterpretation of Traffic Signals by Tesla's Autopilot: Highlighting the Need for Safe and Secure AI
The recent incident involving Tesla's Autopilot system mistaking red reflective letters on a traffic sign for green lights underscores the i...
Read moreChildren Tricked by Disturbing YouTube Videos: Harm Prevention and Safe AI
This incident highlights the need for safe and secure AI in content moderation systems. The inappropriate videos misleading children undersc...
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.