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  1. Outputs

Streamlining EU Digital Regulation While Enforcing Human-Centric Constitutional Safeguards

Academic Article
Publication Date:
2026
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.
CRIS type:
1.1 Articolo in rivista
Keywords:
Artificial Intelligence, Personal Data Protection, Profiling, Targeting, Fundamental Rights, AI Act, DSA, TTPA, political advertising
List of contributors:
Maccabiani, N.
Authors of the University:
MACCABIANI Nadia
Handle:
https://iris.unibs.it/handle/11379/640300
Full Text:
https://iris.unibs.it/retrieve/handle/11379/640300/379499/Streamlining%20EU%20Digital%20Regulation.pdf
Published in:
AI LAW
Journal
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