Date: 2019
Type: Article
CLAUDETTE : an automated detector of potentially unfair clauses in online terms of service
Artificial intelligence and law, 2019, Vol. 27, pp. 117–139
LIPPI, Marco, PALKA, Przemyslaw, CONTISSA, Giuseppe, LAGIOIA, Francesca, MICKLITZ, Hans-Wolfgang, SARTOR, Giovanni, TORRONI, Paolo, CLAUDETTE : an automated detector of potentially unfair clauses in online terms of service, Artificial intelligence and law, 2019, Vol. 27, pp. 117–139
- https://hdl.handle.net/1814/68557
Retrieved from Cadmus, EUI Research Repository
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.
Additional information:
First published online: 15 February 2019
Cadmus permanent link: https://hdl.handle.net/1814/68557
Full-text via DOI: 10.1007/s10506-019-09243-2
ISSN: 0924-8463; 1572-8382
Publisher: Springer
