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

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 too...

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Veröffentlicht in:Artificial intelligence and law 2019-06, Vol.27 (2), p.117-139
Hauptverfasser: Lippi, Marco, Pałka, Przemysław, Contissa, Giuseppe, Lagioia, Francesca, Micklitz, Hans-Wolfgang, Sartor, Giovanni, Torroni, Paolo
Format: Artikel
Sprache:eng
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Zusammenfassung: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.
ISSN:0924-8463
1572-8382
DOI:10.1007/s10506-019-09243-2