On the relevance of algorithmic decision predictors for judicial decision making

Floris Bex, H. Prakken

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

In this article, we discuss case decision predictors, algorithms which, given some features of a legal case predict the outcome of the case (i.e. the decision of the judge). We discuss whether, and if so how, such prediction algorithms can be used to support judges in their decision making process. We conclude that case decision predictors can only be useful in individual cases if they can give legal justifications for their predictions, and that only these legal justifications are what should matter for a judge.

Original languageEnglish
Title of host publicationProceedings of the 18th International Conference on Artificial Intelligence and Law (ICAIL 2021)
PublisherACM Press
Pages175-179
Number of pages5
ISBN (Electronic)978-1-4503-8526-8
DOIs
Publication statusPublished - 21 Jun 2021

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