Abstract
Il quadro normativo per promuovere la ricerca data-driven
L’intervento illustra il quadro normativo in materia di uso e riuso di dati nella ricerca anche a fini di sviluppo di sistemi basati sull’IA alla luce dei più recenti interventi normativi (ad es. L. n. 56/2024 e l 132/2025), comparando le soluzioni interpretative italiane con quelle adottate da altri sistemi UE ed extra-UE
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Bio
Denise Amram is a Senior Assistant Professor of Comparative Private Law at LIDER Lab - DIRPOLIS Institute and affiliate Researcher at the L'EMbeDS Department of Excellence at Scuola Superiore Sant’Anna. Coordinator of the Permanent Observatory on Personal Injury Damages, of the research lines ETHOS (EThics and law witH and fOr reSearch) and Family Law within the LIDER Lab, she participates to several research projects and infrastructures funded under national and EU programs, either dealing with personal and non-personal data governance and regulation or serving as a legal-ethical advisor. Her research interests include dignity and fundamental rights enhancement and protection -especially in the digital dimension - with particular reference to private life and family, health, privacy and data protection, in a national, EU, and comparative perspective.
Abstract
The regulatory framework for promoting data-driven research in Italy
The presentation outlines the regulatory framework governing the use and reuse of data in research, including for the development of AI-based systems, in light of the most recent legislative developments (e.g. Law No. 56/2024 and Law No. 132/2025). It also compares interpretative approaches adopted in Italy with those implemented in other EU and non-EU legal systems.
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