[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 center :
Alma AI Bologna
Disciplines :
Law, criminology & political science: Multidisciplinary, general & others
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
External co-authors :
yes
Language :
English
Title :
Inferring the Meaning of Non-personal, Anonymized, and Anonymous Data
Publication date :
2021
Main work 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, Cham, Switzerland
Edition :
XI-XII - Vol.13048
Collection name :
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Pages :
269 - 282
Peer reviewed :
Peer reviewed
Focus Area :
Law / European Law
European Projects :
H2020 - 814177 - LAST-JD-RIoE - Law, Science and Technology Joint Doctorate: Rights of the Internet of Everything
