Source: DiMT

DiMT presents a critical analysis of predictive justice systems powered by artificial intelligence, focusing on the challenges they pose to traditional legal frameworks in Italy. The article questions the effectiveness and fairness of using AI algorithms to predict legal outcomes, highlighting the tension between efficiency and the complex nature of legal reasoning.

One key concern addressed is the “anachronistic temporality” of predictive justice—the idea that legal decisions, when driven by past data, may fail to account for societal changes or nuanced legal contexts. The article also explores risks related to algorithmic bias, lack of transparency, and the potential erosion of judicial discretion when courts rely too heavily on predictive tools.

Italian legal scholars argue that while AI can assist in legal research and streamline certain judicial processes, there must be clear ethical boundaries and oversight to ensure that justice remains human-centered and adaptable to evolving societal values.