A BRIEF INTERNATIONAL OVERVIEW
by Vanessa Lettieri
Artificial intelligence represents one of the most profound transformations of our time and is beginning to significantly impact the judicial system as well. A field historically grounded in human discretion, legal interpretation, and factual assessment is now confronting algorithms, automation, and predictive models, opening up complex and still evolving scenarios.What Predictive Justice Is and Why It Is Growing
One of the most significant phenomena is predictive justice, which uses artificial intelligence systems to analyze large amounts of judicial data and identify decision-making trends. The aim is not to replace the judge, but to support judicial activity through tools capable of processing information quickly and efficiently. In Italy, for example, projects integrating machine learning and big data have been developed to improve both the quality of judicial decisions and the efficiency of the justice system.
From Courts to Algorithms: International Models
Globally, very different approaches are emerging. In the United States, the Loomis case raised important questions regarding the use of algorithms to assess the risk of recidivism, highlighting critical issues related to transparency and the right to a fair trial. In China, advanced systems are being tested to support prosecutors in formulating charges, while in Estonia artificial intelligence is used to manage minor disputes, always maintaining human oversight over judicial decisions. Germany is also investing in “augmented intelligence” solutions, conceived as support tools rather than replacements for human judgment within the judicial system.
The Risks of Artificial Intelligence in the Justice System
Alongside the opportunities, significant risks are emerging. Among them, the phenomenon of so-called AI “hallucinations” has demonstrated how generative systems can produce inaccurate or entirely fabricated content. Concrete cases in both the United States and Italy have resulted in sanctions against professionals who used artificially generated content without proper verification, highlighting the necessity of constant human oversight.
European and Italian Regulation: A Human-Centered Approach
Despite rapid technological development, the principle that clearly emerges is the centrality of the human being. Artificial intelligence can improve efficiency, reduce processing times, and support decision-making, but it cannot replace the legal, ethical, and discretionary judgment of the judge. The future of digital justice is therefore based on a balance: the integration of technology and human expertise.
Conclusions: Toward Augmented Justice
Artificial intelligence represents an inevitable turning point for the judicial system. Its potential is significant, but it requires awareness, regulation, and responsibility. The real objective is not to automate justice, but to make it more efficient without losing its fundamental values. In this scenario, the challenge will be to govern innovation while firmly maintaining the principle that the final decision must always remain in human hands.
