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Six ethical quandaries of predictive policing – from Machine Learning Leadership and Practice
KDD Invited Talk--TransFAT: Translating Fairness, Accountability, and Transparency-Julia Stoyanovich
Issue Area: Fairness Transparency and Accountability
[KIELive#51] TrustyAI: Ensuring the Fairness and Transparency of Decision Models
AI, predictive analytics, and criminal justice
On the Site of Predictive Justice
Databite No. 90: Kristian Lum
Stanford Seminar: A Computational Approach to Criminal Justice
Minority Report: Predictive Tools in Criminal Justice
Policing in the Age of AI: Benefits, Risks, and the Need for Transparency
The Ethics of AI in Criminal Justice: Can Algorithms be Biased
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Last Updated: October 3, 2026
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Kristian Lum, University of Pennsylvania The related topics of NEW BOOK: The AI Playbook by Eric Siegel. In his bestselling first book, Eric explained how machine ... 2019 making a commitment to using areas where they are beneficial promoting See pitfalls found within machine On February 19, Brookings hosted an event to address the challenges of federal risk assessment instruments in the Authors: Seth Lazar and Jake Stone. Sharad Goel Stanford University Statistical and algorithmic methods are increasingly used throughout the Artificial intelligence is rapidly reshaping the landscape of Sources: Angwin, J., Larson, J., Mattu, S., & Kirchner, L. (2016, May 23). Machine Bias. ProPublica.
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