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.
CLAUDETTE: an automated detector of potentially unfair clauses in online terms of service / Lippi, Marco; Pałka, Przemysław; Contissa, Giuseppe; Lagioia, Francesca; Micklitz, Hans-Wolfgang; Sartor, Giovanni; Torroni, Paolo. - In: ARTIFICIAL INTELLIGENCE AND LAW. - ISSN 0924-8463. - 27:2(2019), pp. 117-139. [10.1007/s10506-019-09243-2]
CLAUDETTE: an automated detector of potentially unfair clauses in online terms of service
Lippi, Marco
;
2019
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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