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.
Marco Lippi, Przemyslaw Palka, Giuseppe Contissa, Francesca Lagioia, Hans-Wolfgang Micklitz, Giovanni Sartor, et al. (2018). CLAUDETTE: an Automated Detector of Potentially Unfair Clauses in Online Terms of Service.
CLAUDETTE: an Automated Detector of Potentially Unfair Clauses in Online Terms of Service
Giuseppe Contissa;Francesca Lagioia;Giovanni Sartor;Paolo Torroni
2018
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.File in questo prodotto:
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