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Machine Learning and the Law: 39th International Seminar on the New Institutional Economics June 7-10, 2023, Segovia, Spain.

Authors :
Engel, Christoph
Schweizer, Urs
Source :
JITE: Journal of Institutional & Theoretical Economics; 2024, Vol. 180 Issue 2, p211-213, 3p
Publication Year :
2024

Abstract

The article discusses the intersection of machine learning and the law, highlighting how machine learning is revolutionizing social life and impacting legal processes. It explores various research topics, such as law as data, predictive policing, and machine learning decision-aids for judicial decision-making. The article also examines the advantages and limitations of using machine learning in legal research, including the reproducibility of results and the potential for bias in algorithms. Overall, the symposium aimed to foster interdisciplinary exchange and explore the ways in which machine learning can contribute to legal scholarship and empirical legal research. [Extracted from the article]

Details

Language :
English
ISSN :
09324569
Volume :
180
Issue :
2
Database :
Complementary Index
Journal :
JITE: Journal of Institutional & Theoretical Economics
Publication Type :
Academic Journal
Accession number :
179590005
Full Text :
https://doi.org/10.1628/jite-2024-0005