@inbook{2749a60ee82842b187bcabdd695b90d9,
title = "Can predictive justice improve the predictability and consistency of judicial decision-making?",
abstract = "There has recently been talk of algorithms that predict decisions in legal cases being used by the judiciary to improve the predictability and consistency of judicial decision making. We argue that their use may minimise the error rate of decisions in the long run, but that this would require not only major technical advances but also major changes in legal thinking about what is the most important objective of judicial decision-making: optimising individual justice in a particular case or reducing errors in the long run. We further argue that if algorithmic decision predictors give any useful information in individual cases to judges at all, this is not in its predictions but in its explanations.",
author = "Floris Bex and Henry Prakken",
note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.",
year = "2021",
doi = "10.3233/FAIA210338",
language = "English",
isbn = "978-1-64368-252-5",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press",
pages = "207--214",
editor = "Erich Schweighofer",
booktitle = "Legal Knowledge and Information Systems. JURIX 2021: The Thirty-Fourth Annual Conference",
address = "Netherlands",
}