CLAUDETTE: an automated detector of potentially unfair clauses in online 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 too...
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| Veröffentlicht in: | Artificial intelligence and law 2019-06, Vol.27 (2), p.117-139 |
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| container_end_page | 139 |
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| container_issue | 2 |
| container_start_page | 117 |
| container_title | Artificial intelligence and law |
| container_volume | 27 |
| creator | Lippi, Marco Pałka, Przemysław Contissa, Giuseppe Lagioia, Francesca Micklitz, Hans-Wolfgang Sartor, Giovanni Torroni, Paolo |
| description | 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. |
| doi_str_mv | 10.1007/s10506-019-09243-2 |
| format | Article |
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| identifier | ISSN: 0924-8463 |
| ispartof | Artificial intelligence and law, 2019-06, Vol.27 (2), p.117-139 |
| issn | 0924-8463 1572-8382 |
| language | eng |
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| source | HeinOnline Law Journal Library; SpringerLink Journals - AutoHoldings |
| subjects | Artificial Intelligence Clauses Computer Science Consumer protection Detectors Information Storage and Retrieval Intellectual Property IT Law Law schools Legal Aspects of Computing Machine learning Media Law Online services Philosophy of Law |
| title | CLAUDETTE: an automated detector of potentially unfair clauses in online terms of service |
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