This analysis examines selected EU digital regulations and assesses their ability to address the far-reaching legal and constitutional implications of intrusive profiling based on machine learning. Building on the EU’s ongoing efforts within the Digital Omnibus Package to streamline existing digital regulations, the study aims to systematise EU provisions which, although currently dis-persed across different legal acts, address various technical and legal aspects related to strong inferential processes resulting from machine learning practices. The objective is to find out a regulatory technique that enhances their effectiveness and ensures that they are better suited to providing appropriate constitutional safeguards.
Streamlining EU Digital Regulation While Enforcing Human-Centric Constitutional Safeguards
N. Maccabiani
2026-01-01
Abstract
This analysis examines selected EU digital regulations and assesses their ability to address the far-reaching legal and constitutional implications of intrusive profiling based on machine learning. Building on the EU’s ongoing efforts within the Digital Omnibus Package to streamline existing digital regulations, the study aims to systematise EU provisions which, although currently dis-persed across different legal acts, address various technical and legal aspects related to strong inferential processes resulting from machine learning practices. The objective is to find out a regulatory technique that enhances their effectiveness and ensures that they are better suited to providing appropriate constitutional safeguards.| File | Dimensione | Formato | |
|---|---|---|---|
|
Streamlining EU Digital Regulation.pdf
accesso aperto
Tipologia:
Full Text
Licenza:
PUBBLICO - Creative Commons 4.0
Dimensione
543.19 kB
Formato
Adobe PDF
|
543.19 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


