The paper examines the role of suggestive algorithms in judicial decision-making, distinguishing them from predictive and fully automated models. These tools, designed to recommend the legally most appropriate outcome, raise critical issues concerning the quality and representativeness of training data, compliance with the EU AI Act, and data privacy. The study also explores their potential systemic impact, questioning whether such algorithms function merely as judicial support or as a new form of “customary precedent.” Finally, it highlights concerns related to transparency, sovereignty, and accountability.

Have your DAI in Court. The Role of Suggestive Algorithms in Judicial Decision-Making

comoglio
2025-01-01

Abstract

The paper examines the role of suggestive algorithms in judicial decision-making, distinguishing them from predictive and fully automated models. These tools, designed to recommend the legally most appropriate outcome, raise critical issues concerning the quality and representativeness of training data, compliance with the EU AI Act, and data privacy. The study also explores their potential systemic impact, questioning whether such algorithms function merely as judicial support or as a new form of “customary precedent.” Finally, it highlights concerns related to transparency, sovereignty, and accountability.
2025
9798400719394
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/1289697
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