The latest developments in natural language processing and machine learning have created new opportunities in legal text analysis. In particular, we look at the texts of online privacy policies after the implementation of the European General Data Protection Regulation (GDPR). We analyse 32 privacy policies to design a methodology for automated detection and assessment of compliance of these documents. Preliminary results confirm the pressing issues with current privacy policies and the beneficial use of this approach in empowering consumers in making more informed decisions. However, we also encountered several serious issues in the process. This paper introduces the challenges through concrete examples of context dependence, omission of information, and multilingualism.

GDPR Privacy Policies in CLAUDETTE: Challenges of Omission, Context and Multilingualism / Ruta Liepina; Giuseppe Contissa; Kasper Drazewski; Francesca Lagioia; Marco Lippi; Hans-Wolfgang Micklitz; Przemysław Pałka; Giovanni Sartor; Paolo Torroni. - ELETTRONICO. - 2385:(2019), pp. 1-7. (Intervento presentato al convegno Third Workshop on Automated Semantic Analysis of Information in Legal Texts co-located with the 17th International Conference on Artificial Intelligence and Law (ICAIL 2019) tenutosi a Montreal, QC, Canada nel June 21, 2019.).

GDPR Privacy Policies in CLAUDETTE: Challenges of Omission, Context and Multilingualism

Ruta Liepina;Giuseppe Contissa;Francesca Lagioia;Marco Lippi;Giovanni Sartor;Paolo Torroni
2019

Abstract

The latest developments in natural language processing and machine learning have created new opportunities in legal text analysis. In particular, we look at the texts of online privacy policies after the implementation of the European General Data Protection Regulation (GDPR). We analyse 32 privacy policies to design a methodology for automated detection and assessment of compliance of these documents. Preliminary results confirm the pressing issues with current privacy policies and the beneficial use of this approach in empowering consumers in making more informed decisions. However, we also encountered several serious issues in the process. This paper introduces the challenges through concrete examples of context dependence, omission of information, and multilingualism.
2019
Automated Semantic Analysis of Information in Legal Text 2019. Proceedings of the Third Workshop on Automated Semantic Analysis of Information in Legal Texts co-located with the 17th International Conference on Artificial Intelligence and Law (ICAIL 2019)
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GDPR Privacy Policies in CLAUDETTE: Challenges of Omission, Context and Multilingualism / Ruta Liepina; Giuseppe Contissa; Kasper Drazewski; Francesca Lagioia; Marco Lippi; Hans-Wolfgang Micklitz; Przemysław Pałka; Giovanni Sartor; Paolo Torroni. - ELETTRONICO. - 2385:(2019), pp. 1-7. (Intervento presentato al convegno Third Workshop on Automated Semantic Analysis of Information in Legal Texts co-located with the 17th International Conference on Artificial Intelligence and Law (ICAIL 2019) tenutosi a Montreal, QC, Canada nel June 21, 2019.).
Ruta Liepina; Giuseppe Contissa; Kasper Drazewski; Francesca Lagioia; Marco Lippi; Hans-Wolfgang Micklitz; Przemysław Pałka; Giovanni Sartor; Paolo Torroni
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/716509
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