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Artificial Intelligence and Law

, Volume 27, Issue 2, pp 117–139 | Cite as

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

  • Marco LippiEmail author
  • Przemysław Pałka
  • Giuseppe Contissa
  • Francesca Lagioia
  • Hans-Wolfgang Micklitz
  • Giovanni Sartor
  • Paolo Torroni
Article

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.

Keywords

Machine learning Terms of service Potentially unfair clauses Natural language processing 

Notes

Acknowledgements

Funding was obtained from European University Institute by author Hans-Wolfgang Micklitz (CLAUDETTE Project).

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Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.DISMI – University of Modena and Reggio EmiliaReggio EmiliaItaly
  2. 2.Yale Law School Center for Private Law, Information Society ProjectNew HavenUSA
  3. 3.CIRSFIDUniversity of BolognaBolognaItaly
  4. 4.Law DepartmentEuropean University InstituteSan Domenico di Fiesole, FlorenceItaly
  5. 5.DISI – University of BolognaBolognaItaly

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