Reference : Inferring the Meaning of Non-personal, Anonymized, and Anonymous Data
Parts of books : Contribution to collective works
Law, criminology & political science : Multidisciplinary, general & others
Law / European Law
http://hdl.handle.net/10993/50114
Inferring the Meaning of Non-personal, Anonymized, and Anonymous Data
English
Podda, Emanuela mailto [University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > >]
Palmirani, Monica mailto [Alma Mater Studiorum - Università di Bologna > Legal Studies]
2021
XI-XII - Vol.13048
AI Approaches to the Complexity of Legal Systems
Rodríguez-Doncel, Victor
Palmirani, Monica
Araszkiewicz, Michał
Casanovas, Pompeu
Pagallo, Ugo
Sartor, Giovanni
Springer
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
269 - 282
Yes
Cham
Switzerland
[en] Non-personal data ; Anonymization ; Pseudonymization
[en] On the awareness of the dynamism pertaining to data and its processing, this paper investigates the problem of having two mutually exclusive definitions of personal and non-personal data in the legal framework in force. The taxonomic analysis of key terms and their context of application highlights the risk to crystalize the whole system upon which the digital single market is built, suffocating its future development. With this premise, the paper discusses the extent of the two main data processing tools provided by the GDPR, questioning the ex-ante categorization of data and its outcome, supporting stakeholders in overcoming this issue.
Alma AI Bologna
European Commission - EC
Rights of Internet of Everything
http://hdl.handle.net/10993/50114
10.1007%2F978-3-030-89811-3_19
H2020 ; 814177 - LAST-JD-RIoE - Law, Science and Technology Joint Doctorate: Rights of the Internet of Everything

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