Two years after its entry into force, the EU General Data Protection Regulation became applicable on the 25th May 2018. Despite the long time for preparation, privacy policies of online platforms and services still often fail to comply with information duties and the standard of lawfulness of data processing. In this paper we present a new methodology for processing privacy policies under GDPR's provisions, and a novel annotated corpus, to be used by machine learning systems to automatically check the compliance and adequacy of privacy policies. Preliminary results confirm the potential of the methodology.

Automated processing of privacy policies under the EU general data protection regulation / Contissa G.; Docter K.; Lagioia F.; Lippi M.; Micklitz H.-W.; Palka P.; Sartor G.; Torroni P.. - ELETTRONICO. - 313:(2018), pp. 51-60. (Intervento presentato al convegno 31st International Conference on Legal Knowledge and Information Systems, JURIX 2018 tenutosi a Het Kasteel, nld nel 2018) [10.3233/978-1-61499-935-5-51].

Automated processing of privacy policies under the EU general data protection regulation

Lippi M.;
2018

Abstract

Two years after its entry into force, the EU General Data Protection Regulation became applicable on the 25th May 2018. Despite the long time for preparation, privacy policies of online platforms and services still often fail to comply with information duties and the standard of lawfulness of data processing. In this paper we present a new methodology for processing privacy policies under GDPR's provisions, and a novel annotated corpus, to be used by machine learning systems to automatically check the compliance and adequacy of privacy policies. Preliminary results confirm the potential of the methodology.
2018
Frontiers in Artificial Intelligence and Applications
31st International Conference on Legal Knowledge and Information Systems, JURIX 2018
Het Kasteel, nld
2018
Contissa G.; Docter K.; Lagioia F.; Lippi M.; Micklitz H.-W.; Palka P.; Sartor G.; Torroni P.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1356514
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