On the relevance of algorithmic decision predictors for judicial decision making
Publication date
2021-06-21
Editors
Maranhão, Juliano
Advisors
Supervisors
Document Type
Part of book
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taverne
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.
Keywords
application of algorithms, legal decision making, legal prediction, Taverne, Artificial Intelligence, Software, Law
Citation
Bex, F & Prakken, H 2021, On the relevance of algorithmic decision predictors for judicial decision making. in J Maranhão (ed.), ICAIL '21: Proceedings of the Eighteenth International Conference on Artificial Intelligence and Law. Association for Computing Machinery, New York, pp. 175-179. https://doi.org/10.1145/3462757.3466069