Prethodno priopćenje
https://doi.org/10.22598/iele.2026.13.1.3
PURPOSE LIMITATION AND MACHINE LEARNING UNDER THE GDPR
Rastislav Funta
orcid.org/0000-0003-4510-4818
; Danubius University, Faculty of Law, Sládkovičovo, Slovakia
*
Jörg Kohlenz
; Danubius University, Faculty of Public Policy and Public Administration, Sládkovičovo, Slovakia
* Dopisni autor.
Sažetak
When determining whether the use of machine learning is compliant with the GDPR, the trouble areas identified in standard big data studies are most affected. There are, however, unique characteristics that set machine learning apart from other large data analytics. The technological aspects of intelligent systems exacerbate the clash with the purpose restriction principle. This is related, on the one hand, to the fact that a machine learning model’s processing processes are more sophisticated and hence more opaque than those of traditional algorithms, particularly in terms of transparency. On the other hand, it will be increasingly more unusual to presume that customer data was obtained specifically for the goal of training a machine learning model, necessitating a change of purpose even more frequently. This is especially true since it is already questionable whether the term “machine learning” can legitimately be used to define the goal of data processing. Based on this, the article investigates the research question of whether and to what extent machine learning may be applied in the sales industry while adhering to the GDPR’s purpose limitation principle.
Ključne riječi
GDPR; machine learning; personal data
Hrčak ID:
347862
URI
Datum izdavanja:
16.6.2026.
Posjeta: 80 *