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The Danger of Reverse-Engineering of Automated Judicial Decision-Making\n Systems

2020/12/18 by Masha Medvedeva, Martijn Wieling, Medvedeva, Masha +3
Computer Science · Economics, Econometrics and Finance · Social Sciences · #Artificial Intelligence in Law #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Law, AI, and Intellectual Property #Law, Economics, and Judicial Systems #Legal Education and Practice Innovations #Machine Learning (cs.LG)

paper · pdf · doi:10.48550/arxiv.2012.10301

openalex publication_date 2020/12/18 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28

Abstract

In this paper we discuss the implications of using machine learning for\njudicial decision-making in situations where human rights may be infringed. We\nargue that the use of such tools in these situations should be limited due to\ninherent status quo bias and dangers of reverse-engineering. We discuss that\nthese issues already exist in the judicial systems without using machine\nlearning tools, but how introducing them might exacerbate them.\n

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