Reference : Inferring the Meaning of Non-personal, Anonymized, and Anonymous Data

	Document type :	Parts of books : Contribution to collective works
	Discipline(s) :	Law, criminology & political science : Multidisciplinary, general & others
	Focus Areas :	Law / European Law
	To cite this reference:	http://hdl.handle.net/10993/50114

Title :	Inferring the Meaning of Non-personal, Anonymized, and Anonymous Data
Language :	English
Author, co-author :	Podda, Emanuela [University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > >]
	Palmirani, Monica [Alma Mater Studiorum - Università di Bologna > Legal Studies]
Publication date :	2021
Edition :	XI-XII - Vol.13048
Main document title :	AI Approaches to the Complexity of Legal Systems
Author, co-author :	Rodríguez-Doncel, Victor
	Palmirani, Monica
	Araszkiewicz, Michał
	Casanovas, Pompeu
	Pagallo, Ugo
	Sartor, Giovanni
Publisher :	Springer
Collection and collection volume :	LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Pages :	269 - 282
Peer reviewed :	Yes
City :	Cham
Country :	Switzerland
Keywords :	[en] Non-personal data ; Anonymization ; Pseudonymization
Abstract :	[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.
Research centres :	Alma AI Bologna
Funders :	European Commission - EC
Name of the research project :	Rights of Internet of Everything
Permalink :	http://hdl.handle.net/10993/50114
DOI :	10.1007%2F978-3-030-89811-3_19
Framework Programme / European Project :	H2020 ; 814177 - LAST-JD-RIoE - Law, Science and Technology Joint Doctorate: Rights of the Internet of Everything

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