Lawsuit Over Teacher Evaluation System in Houston Schools Highlights Need for AI Governance
A recent lawsuit against the Houston Independent School District (HISD) raises questions about the use of AI in education, specifically teac...
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 & citationTesla Autopilot Misinterprets Traffic Signals: A Case Study in AI Incident Prevention
This Tesla Autopilot incident highlights the need for robust AI governance, ensuring safe and secure autonomous driving. The system mistook...
Read moreNew York Police Department's AI Robot Dog Incident: A Case for Responsible AI Governance
The New York Police Department's AI robot dog incident highlights the need for safe and secure AI governance. This AI incident maps to the '...
Read moreUniversities Using Race as a Predictor for Student Success Raise AI Accountability Concerns
An incident involving university AI systems using race as a high impact predictor of student success raises concerns about AI accountability...
Read moreFrance's Welfare Services: Preventing 'Robo-Debt' Incidents - A Step Towards Safe and Secure AI
Incident analysis highlights the challenges faced by France's welfare services in avoiding 'robo-debt'. Understanding these issues is crucia...
Read moreDisturbing YouTube Videos Tricking Children: An Unfortunate AI Incident Map to the Govern Function in Project Cerebellum's Trusted AI Model (TAIM)
This AI incident involving misleading YouTube videos highlights the need for responsible AI governance. By understanding and addressing such...
Read moreControversial Software Company Shifts Towards Responsible AI After Bad Press
This AI incident highlights the software company's commitment to trustworthy AI by addressing past issues and implementing improvements. The...
Read moreAnalyzing the COMPAS Recidivism Algorithm: A Step Towards Responsible AI
Exploring the COMPAS recidivism algorithm reveals insights into safe and secure AI practices. This AI incident maps to the Govern function i...
Read moreDebiasing Bias in AI: A Look at Word Embeddings for Responsible AI – Mapping to the Govern Function in HISPI Project Cerebellum Trusted AI Model (TAIM)
Explore the impact of bias in AI, specifically focusing on word embeddings. This analysis is crucial for creating trustworthy and safe AI sy...
Read moreStudy Exposes Bias and Inflexibility in AI's Civility Detection: A Call for Responsible AI
A recent study revealed bias and inflexibility in AI-powered civility detection systems, highlighting the need for trustworthy AI. Improve A...
Read moreExploring Google's AI Bias Incident Regarding Homosexuality and Advocating for Trustworthy AI
This AI incident involving Google sheds light on the importance of responsible AI governance. The biased opinion about homosexuality highlig...
Read moreAmazon Alters Search Results for Trustworthy AI: Promoting Safe and Secure Digital Spaces
The Amazon censorship of GLBT books demonstrates the importance of responsible AI governance. This AI incident maps to the Govern function i...
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.