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

被引：88

作者：

Lippi, Marco ^{[1
]}

Palka, Przemyslaw ^{[2
]}

Contissa, Giuseppe ^{[3
,4
]}

Lagioia, Francesca ^{[3
,4
]}

Micklitz, Hans-Wolfgang ^{[4
]}

Sartor, Giovanni ^{[3
,4
]}

Torroni, Paolo ^{[5
]}

机构：

[1] Univ Modena & Reggio Emilia, DISMI, Via Amendola 2, I-42122 Reggio Emilia, Italy

[2] Yale Law Sch, Ctr Private Law, Informat Soc Project, 127 Wall St, New Haven, CT 06511 USA

[3] Univ Bologna, CIRSFID, Via Galliera 3, I-40121 Bologna, Italy

[4] European Univ Inst, Law Dept, Via Fontanelle 10, I-50014 Florence, Italy

[5] Univ Bologna, DISI, Viale Risorgimento 2, I-40136 Bologna, Italy

来源：

ARTIFICIAL INTELLIGENCE AND LAW | 2019年 / 27卷 / 02期

关键词：

Machine learning; Terms of service; Potentially unfair clauses; Natural language processing;

D O I：

10.1007/s10506-019-09243-2

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：117 / 139

页数：23

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