Machine Learning and Judicial Rulings Traffic Violations

Abstract

This paper presents a project focused on applying machine learning techniques to develop an assistive tool aimed at facilitating the process of issuing judgments for traffic offenses. Although the project has not yet achieved full implementation through a system-wide rollout for the automatic case management in misdemeanor courts (SIPRES), it has demonstrated significant potential for improving the efficiency and effectiveness of judicial proceedings.  The presentation of the project will focus on practical factors and ethics rather than theoretical principles, law, and philosophy. Instead, it will highlight ethical considerations encountered by the authors directly within the model, data, and the proposals of individual decisions.