On the relevance of algorithmic decision predictors for judicial decision making

Floris Bex; Henry Prakken

doi:10.1145/3462757.3466069

On the relevance of algorithmic decision predictors for judicial decision making

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-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 language	English
Title of host publication	ICAIL '21: Proceedings of the Eighteenth International Conference on Artificial Intelligence and Law
Editors	Juliano Maranhão
Place of Publication	New York
Publisher	Association for Computing Machinery
Pages	175-179
Number of pages	5
ISBN (Electronic)	9781450385268
DOIs	https://doi.org/10.1145/3462757.3466069
Publication status	Published - 21 Jun 2021

Bibliographical note

Publisher Copyright:
© 2021 ACM.

Keywords

application of algorithms
legal decision making
legal prediction

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10.1145/3462757.3466069

3462757.3466069Final published version, 508 KBLicence: Taverne

Cite this

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title = "On the relevance of algorithmic decision predictors for judicial decision making",

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.",

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On the relevance of algorithmic decision predictors for judicial decision making. / Bex, Floris ; Prakken, Henry.
ICAIL '21: Proceedings of the Eighteenth International Conference on Artificial Intelligence and Law. ed. / Juliano Maranhão. New York: Association for Computing Machinery, 2021. p. 175-179.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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N2 - 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.

AB - 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.

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KW - legal decision making

KW - legal prediction

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DO - 10.1145/3462757.3466069

M3 - Conference contribution

SP - 175

EP - 179

BT - ICAIL '21: Proceedings of the Eighteenth International Conference on Artificial Intelligence and Law

A2 - Maranhão, Juliano

PB - Association for Computing Machinery

CY - New York

ER -

On the relevance of algorithmic decision predictors for judicial decision making

Abstract

Bibliographical note

Keywords

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