New York Police Department's AI-Powered Robot Dog Incident: A Call for Responsible AI Governance
The incident involving the New York Police Department's AI-powered robot dog highlights the need for responsible AI governance and safe and...
Read moreValues Statement: We believe AI should cause no harm, but enhance the quality of human life, by proactively adopting our AI Governance framework.
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AI Incidents
Data source & citationIncident Analysis: Tesla Autopilot Misinterprets Traffic Signals
Exploring the recent incident where a Tesla vehicle failed to recognize red traffic lights due to its Autopilot system, highlighting the nee...
Read moreProtest by Frontline Workers at Stanford over Vaccine Distribution Inequality
A group of frontline workers at Stanford Hospital protested recently due to perceived prioritization of vaccines for hospital administrators...
Read moreAI Initiative Stresses Human-Robot Coexistence, Unintentionally Predicts Potential Harm
This AI incident sheds light on the importance of trustworthy AI and harm prevention in AI governance. The dialogue highlights a potential r...
Read moreCritique of Algorithm Use in Education Systems: Assessing Governance for Responsible AI
This incident highlights the necessity of trustworthy AI governance in education systems. The Government's handling of algorithms has raised...
Read moreUnfair AI Bias: UK Passport Photo Checker Shows Preference Against Dark-Skinned Women - A Case for Responsible AI Governance
This incident highlights the need for trustworthy, safe, and secure AI. The passport photo checker's bias against dark-skinned women undersc...
Read moreAnalysis of Jewish Baby Stroller Image AI Algorithm Incident
This AI incident involving an image algorithm demonstrates the need for trustworthy, responsible, and safe AI practices. This incident maps...
Read moreExamining the Radicalization Trap on YouTube: A Case Study of the Christchurch Shooter Incident
This incident sheds light on the challenge of moderating harmful content on social media platforms, particularly YouTube. Understanding and...
Read moreFacebook Alleged of Enabling Housing Discrimination: A Case for Responsible AI Governance
In an incident that underscores the need for trustworthy AI, Facebook is accused of facilitating housing discrimination by HUD. This AI inci...
Read moreHalting Bias in AI: Job Screening Service Stops Facial Analysis of Applicants - A Step Towards Trustworthy AI
In a move towards safer and secure AI, a job screening service has ceased facial analysis of applicants. This decision aligns with our commi...
Read moreCourt Ruling Highlights Discriminatory AI Usage by Deliveroo: The Importance of Responsible AI Governance
In a landmark decision, a court has found that food delivery service Deliveroo employed an 'algorithm' that exhibited discriminatory practic...
Read moreAnalyzing Incident #108: A Deep Dive into Trustworthy AI
Explore the details of Incident #108, shedding light on its implications for safe and secure AI. This AI incident maps to the Govern functio...
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.