Predictive Justice

Predictive justice refers to using data, algorithms, and statistical models to forecast the likelihood of future criminal behavior or legal outcomes. It aims to assist courts in making more informed decisions—such as bail, sentencing, or parole—by assessing risks based on patterns from past cases. While it can help improve consistency and efficiency, it also raises concerns about fairness, transparency, and potential bias in the algorithms. Overall, predictive justice seeks to complement human judgment with data-driven insights to promote more effective and equitable justice processes.