Autore
Barbieri, Michele

Titolo
Platform regulation and AI enhanced education in Italy: Policy challenges in the era of AI-driven learning
Periodico
Rivista di Digital Politics
Anno: 2025 - Fascicolo: 2/3 - Pagina iniziale: 353 - Pagina finale: 376

The diffusion of Artificial intelligence (Ai) across education systems has generated both opportunities for innovation, and concerns related to ethics, equity, and governance. The European union has taken a leading role in regulating Ai and digital platforms, with several initiatives. This article examines the Italian case, to explore how national education policy has developed to promote the responsible and scalable adoption of Ai tools, and how Eu regulatory frameworks condition this process. By adopting an integrated theoretical framework that combines the Multiple streams framework and Multi-level governance, this investigation sheds light on the role of critical junctures and focusing events in creating windows of opportunity, by coupling problems, policy solutions, and political conditions, while highlighting both vertical and horizontal dynamics in governance arrangements. The research draws on a qualitative content analysis of policy documents at both Eu and national levels, covering the period 2015-2025. Italy is treated as a typical case in the Eu context, providing representative insights into the translation of supranational frameworks into national education systems. The findings reveal how Italian policy has embedded responsibility and safeguards into Ai adoption, while raising questions about capacity, compliance burdens, and regional inequalities. The article contributes to related policy studies, by illustrating how Eu digital regulation and national education policies interact, and by offering new insights into the governance of Ai in education as a critical field of digital politics.



SICI: 2785-0072 (2025)2/3<353:PRAAEE>2.0.ZU;2-D
Testo completo: https://www.rivisteweb.it/download/article/10.53227/119814
Testo completo alternativo: https://www.rivisteweb.it/doi/10.53227/119814

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