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Evidence & decision making in the law: theoretical, computational and empirical approaches

Evidence & decision making in the law: theoretical, computational and empirical approaches Artificial Intelligence and Law (2020) 28:1–5 https://doi.org/10.1007/s10506-019-09253-0 Evidence & decision making in the law: theoretical, computational and empirical approaches 1 2 Marcello Di Bello  · Bart Verheij Published online: 22 June 2019 © Springer Nature B.V. 2019 Decisions of judges, court experts and lay jurors play an important role in the fab- ric of society. Since the price of decisional errors in civil or criminal cases can be significant, it is paramount to employ good methods for assessing the evidence on which decisions are based. This special issue addresses questions at the intersec- tion of evidence assessment in court and legal decision-making. The special issue contains the postproceedings of the workshop ‘Evidence & Decision Making in the Law: Theoretical, Computational and Empirical Approaches’ that was held in conjunction with the 16th International Conference on AI and Law and took place on June 16th, 2017 at King’s College London (https ://icail 2017e viden cedec ision .wordp ress.com). The workshop aimed to foster an interdisciplinary debate among researchers in AI & Law working on legal reasoning and argumentation theory, legal scholars, philosophers and empirically minded researchers. For some general refer- ences on the themes discussed during the workshop, we refer the reader to the list at the http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Artificial Intelligence and Law Springer Journals

Evidence & decision making in the law: theoretical, computational and empirical approaches

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Publisher
Springer Journals
Copyright
Copyright © Springer Nature B.V. 2019
Subject
Computer Science; Artificial Intelligence; IT Law, Media Law, Intellectual Property; Philosophy of Law; Legal Aspects of Computing; Information Storage and Retrieval
ISSN
0924-8463
eISSN
1572-8382
DOI
10.1007/s10506-019-09253-0
Publisher site
See Article on Publisher Site

Abstract

Artificial Intelligence and Law (2020) 28:1–5 https://doi.org/10.1007/s10506-019-09253-0 Evidence & decision making in the law: theoretical, computational and empirical approaches 1 2 Marcello Di Bello  · Bart Verheij Published online: 22 June 2019 © Springer Nature B.V. 2019 Decisions of judges, court experts and lay jurors play an important role in the fab- ric of society. Since the price of decisional errors in civil or criminal cases can be significant, it is paramount to employ good methods for assessing the evidence on which decisions are based. This special issue addresses questions at the intersec- tion of evidence assessment in court and legal decision-making. The special issue contains the postproceedings of the workshop ‘Evidence & Decision Making in the Law: Theoretical, Computational and Empirical Approaches’ that was held in conjunction with the 16th International Conference on AI and Law and took place on June 16th, 2017 at King’s College London (https ://icail 2017e viden cedec ision .wordp ress.com). The workshop aimed to foster an interdisciplinary debate among researchers in AI & Law working on legal reasoning and argumentation theory, legal scholars, philosophers and empirically minded researchers. For some general refer- ences on the themes discussed during the workshop, we refer the reader to the list at the

Journal

Artificial Intelligence and Law – Springer Journals

Published: Mar 22, 2020

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