The Impact of Brand Safety Tech on Financial Support for News: A Case Study
This case study explores the unintended consequences of brand safety technology, revealing how it inadvertently defunds news organizations....
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 & citationIsraeli Farmer's Dispute Highlights Importance of Responsible AI Governance
An incident involving an Israeli farmer declaring war on an algorithm underscores the need for safe, secure and trustworthy AI governance. T...
Read moreAI Software Misidentifying Students of Color: A Case for Responsible AI Governance
An incident involving an AI software misidentifying students of color highlights the need for safe and secure AI. This AI incident maps to t...
Read moreExamining the Role of Algorithms in Spreading Vaccine Misinformation on E-commerce Platforms: A Call for Responsible AI Governance
This AI incident highlights the importance of trustworthy AI and safe data practices within e-commerce platforms. This incident maps to the...
Read moreExam Monitoring Software Disadvantaging BIPOC Students at University of Toronto - An Incident Highlighting Safe and Secure AI Needs
This incident involving exam monitoring software at the University of Toronto raises concerns about fairness and bias in AI. It underscores...
Read moreInvestigating Potential AI Bias in Live Streaming: The Beverly Hills Cop Case
This intriguing incident raises questions about AI bias in live streaming platforms, showcasing the need for robust AI governance and trustw...
Read moreUnderstanding Facebook's Rejection of Fashion Ads: AI Incident Analysis
This AI incident analysis sheds light on Facebook's rejection of certain fashion ads, highlighting the importance of responsible AI and safe...
Read moreAddressing Content Violations: A Test for Trustworthy AI - Case Study of Facebook and Twitter
Exploring the challenges faced by Facebook and Twitter in managing content violations in the Balkan region, this article highlights the crit...
Read moreAccidental Blockage by YouTube Algorithm of the 'Black-and-White Chess Strategy' – A Case Study for Responsible AI
This incident sheds light on the importance of trustworthy AI, underscoring potential unintended consequences in AI governance. It demonstra...
Read moreTesla's Full Self-Driving Test: Understanding AI Incidents for Safe and Secure AI Development
In this article, we share our experience testing Tesla's Full Self-Driving feature, emphasizing the importance of AI governance in preventin...
Read moreExploring the Ethics of AI: Can Machines Understand Right from Wrong?
Dive into an analysis of a recent AI incident, discussing its implications for the development of ethical AI. This AI incident maps to the G...
Read moreBank Fraud: Voice Cloning Used in $35 Million Heist - Highlighting the Need for Responsible AI
An incident involving a bank heist, where fraudsters cloned a company director's voice, underscores the importance of trustworthy AI. This A...
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.