Parole Review Individualized Support Model (PRISM)

This study develops a transparent, fairness-aware machine learning model to enhance parole decision-making. Prioritizing dynamic factors over criticized static approaches like COMPAS, the model promotes objectivity, equity, and rehabilitative goals through empirically outlined validation and openly disclosed methodology for external review and continuous improvement in parole outcomes.