The paper focuses on the use of Artificial Intelligence to enforce consumer rights in the digital world. Adopting an interdisciplinary approach, the essay aims to analyze ways of protecting consumers against violations of their fundamental rights in online markets. It specifically investigates the potential of a newly developed Supervised Machine Learning system (CLAUDETTE) devised to detect unfair clauses in online terms of service. Some suggestions are advanced for the implementation of Artificial Intelligence systems, such as Claudette, for empowering consumers and defending their rights, and the possible use of these systems by Supervisory Authorities and Courts. Moreover, some crucial issues are addressed, including the potential value of Artificial Intelligence outcomes in the law of evidence. The shortcomings of using Machine Learning in consumer law are also highlighted, while possible solutions are proposed. Finally, a conclusion is drawn, calling for the development of an integrated enforcement system for consumer law and data protection law, involving procedural and substantive law instruments as well as privacy and consumer-friendly technologies.

L'intelligenza artificiale alla prova: i diritti dei consumatori e il programma CLAUDETTE

Marina Federico
2022-01-01

Abstract

The paper focuses on the use of Artificial Intelligence to enforce consumer rights in the digital world. Adopting an interdisciplinary approach, the essay aims to analyze ways of protecting consumers against violations of their fundamental rights in online markets. It specifically investigates the potential of a newly developed Supervised Machine Learning system (CLAUDETTE) devised to detect unfair clauses in online terms of service. Some suggestions are advanced for the implementation of Artificial Intelligence systems, such as Claudette, for empowering consumers and defending their rights, and the possible use of these systems by Supervisory Authorities and Courts. Moreover, some crucial issues are addressed, including the potential value of Artificial Intelligence outcomes in the law of evidence. The shortcomings of using Machine Learning in consumer law are also highlighted, while possible solutions are proposed. Finally, a conclusion is drawn, calling for the development of an integrated enforcement system for consumer law and data protection law, involving procedural and substantive law instruments as well as privacy and consumer-friendly technologies.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10278/3762870
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