Criminal Justice Forecasts of Risk - A Machine Learning Approach. - Richard Berk (Springer, 2012)

Algorithmic criminology. - Richard Berk (Secur. Informatics, 2013)

A Convex Framework for Fair Regression. - Richard Berk; Hoda Heidari; Shahin Jabbari; Matthew Joseph; Michael J. Kearns; Jamie Morgenstern; Seth Neel; Aaron Roth 001 (CoRR, 2017)

Modern Neural Networks Generalize on Small Data Sets. - Matthew Olson; Abraham J. Wyner; Richard Berk (NeurIPS, 2018)

Machine Learning Risk Assessments in Criminal Justice Settings - Richard Berk (Springer, 2019)

Evaluating the Effectiveness of Personalized Medicine With Software. - Adam Kapelner; Justin Bleich; Alina Levine; Zachary D. Cohen; Robert J. DeRubeis; Richard Berk (Frontiers Big Data, 2021)

Demystifying AI in Criminal Justice. - Richard Berk (CoRR, 2025)