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CLAUDETTE: an automated detector of potentially unfair clauses in online terms of service

Authors:

Hans-Wolfgang Micklitz,

Giovanni Sartor,

Paolo TorroniAuthors Info & Claims

Artificial Intelligence and Law, Volume 27, Issue 2

Pages 117 - 139

https://doi.org/10.1007/s10506-019-09243-2

Published: 01 June 2019 Publication History

Abstract

Terms of service of on-line platforms too often contain clauses that are potentially unfair to the consumer. We present an experimental study where machine learning is employed to automatically detect such potentially unfair clauses. Results show that the proposed system could provide a valuable tool for lawyers and consumers alike.

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Braun D(2024)I beg to differ: how disagreement is handled in the annotation of legal machine learning data setsArtificial Intelligence and Law10.1007/s10506-023-09369-432:3(839-862)Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1007/s10506-023-09369-4
Schepers IMedvedeva MBruijn MWieling MVols M(2024)Predicting citations in Dutch case law with natural language processingArtificial Intelligence and Law10.1007/s10506-023-09368-532:3(807-837)Online publication date: 1-Sep-2024
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Guha NNyarko JHo DRé CChilton ANarayana AChohlas-Wood APeters AWaldon BRockmore DZambrano DTalisman DHoque ESurani FFagan FSarfaty GDickinson GPorat HHegland JWu JNudell JNiklaus JNay JChoi JTobia KHagan MMa MLivermore MRasumov-Rahe NHolzenberger NKolt NHenderson PRehaag SGoel SGao SWilliams SGandhi SZur TIyer VLi ZOh ANaumann TGloberson ASaenko KHardt MLevine S(2023)LEGALBENCHProceedings of the 37th International Conference on Neural Information Processing Systems10.5555/3666122.3668037(44123-44279)Online publication date: 10-Dec-2023
https://dl.acm.org/doi/10.5555/3666122.3668037
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CLAUDETTE: an automated detector of potentially unfair clauses in online terms of service
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cover image Artificial Intelligence and Law

Artificial Intelligence and Law Volume 27, Issue 2

June 2019

136 pages

ISSN:0924-8463

Issue’s Table of Contents

Publisher

Kluwer Academic Publishers

United States

Publication History

Published: 01 June 2019

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Braun D(2024)I beg to differ: how disagreement is handled in the annotation of legal machine learning data setsArtificial Intelligence and Law10.1007/s10506-023-09369-432:3(839-862)Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1007/s10506-023-09369-4
Schepers IMedvedeva MBruijn MWieling MVols M(2024)Predicting citations in Dutch case law with natural language processingArtificial Intelligence and Law10.1007/s10506-023-09368-532:3(807-837)Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1007/s10506-023-09368-5
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