We present a study aimed at testing the CLAUDETTE system's ability to generalise the concept of unfairness in consumer contracts across diverse market sectors. The data set includes 142 terms of services grouped in five sub-sets: travel and accommodation, games and entertainment, finance and payments, health and well-being, and the more general others. Preliminary results show that the classifier has satisfying performance on all the sectors.

Assessing the Cross-Market Generalization Capability of the CLAUDETTE System / Jablonowska A.; Lagioia F.; Lippi M.; Micklitz H.-W.; Sartor G.; Tagiuri G.. - ELETTRONICO. - 346:(2021), pp. 62-67. (Intervento presentato al convegno 34th International Conference on Legal Knowledge and Information Systems, JURIX 2021 tenutosi a ltu nel 2021) [10.3233/FAIA210318].

Assessing the Cross-Market Generalization Capability of the CLAUDETTE System

Lippi M.;
2021

Abstract

We present a study aimed at testing the CLAUDETTE system's ability to generalise the concept of unfairness in consumer contracts across diverse market sectors. The data set includes 142 terms of services grouped in five sub-sets: travel and accommodation, games and entertainment, finance and payments, health and well-being, and the more general others. Preliminary results show that the classifier has satisfying performance on all the sectors.
2021
Frontiers in Artificial Intelligence and Applications
34th International Conference on Legal Knowledge and Information Systems, JURIX 2021
ltu
2021
Jablonowska A.; Lagioia F.; Lippi M.; Micklitz H.-W.; Sartor G.; Tagiuri G.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1356518
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