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.File in questo prodotto:
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