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

• DOI: 10.1007/s10506-019-09243-2
• Publication Date: 2019-02-15T03:18:57Z
• Authors: Marco Lippi; Przemysław Pałka; Giuseppe Contissa; Francesca Lagioia; Hans-Wolfgang Mic...; Giovanni Sartor; Paolo Torroni
• Keywords: Machine learning; Natural language processing; Potentially unfair clauses; Terms of service; Artificial Intelligence; Law; FOS: Computer and information sciences; Computer Science - Computers and Society; Artificial Intelligence (cs.AI); Computer Science - Artificial Intelligence; Computers and Society (cs.CY); 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology; Machine learning; Natural language processing; Potentially unfair clauses; 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 tool for lawyers and consumers alike.