Proposals for an Italian Strategy for Artificial Intelligence
Proposte per una strategia italiana per l’intelligenza artificiale
This document outlines proposals for an Italian national strategy on artificial intelligence, prepared by an expert group at the Ministry of Economic Development in July 2019. It emphasizes an anthropocentric, sustainable approach to AI, referred to as a RenAIssance, focusing on human-centric policies, reliable ecosystems, and sustainable development goals. The strategy details recommendations across education, labor, legal protections, public administration modernization, and research infrastructure.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Policymakers, researchers, industry leaders, and public sector administrators seeking guidance on Italy's national artificial intelligence roadmap and policy framework.
What the document contains
The document addresses the global, European, and national state of AI, identifies key ethical, legal, and economic risks, and proposes comprehensive policies spanning education, labor, data governance, industrial competitiveness, public administration modernization, and environmental sustainability.
Binding legislative provisions, as the text contains recommendations from an independent expert group rather than enacted laws or enforceable regulations.
- Italy must pursue an anthropocentric approach to artificial intelligence that safeguards fundamental rights and human agency.
- The national strategy links AI development with the United Nations Sustainable Development Goals (SDGs) to promote a new economic, social, and environmental Renaissance.
- Strengthening the national data economy through open data platforms and data intermediation is essential for industrial competitiveness.
- The public sector must act as a primary catalyst for innovation through digital transformation and pre-commercial procurement.
- Creating an Italian Institute for Artificial Intelligence and upgrading national computing and research infrastructure are critical for fostering tech transfer and retaining talent.
· Introduzione · 1 L’intelligenza artificiale: opportunità e rischi · 2 I Trend globali e la Visione Europea · 3 L’Italia alla sfida dell’intelligenza artificiale · 4 L’AI per l’Uomo · 5 AI per un Ecosistema Affidabile e Competitivo · 6 AI per lo sviluppo sostenibile · 7 La governance della strategia · 8 Raccomandazioni per la strategia italiana sull’intelligenza artificiale
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Human Dignity
5/5Respect for the inherent worth of persons
La visione italiana dell’AI deve essere antropocentrica. Ciò implica una visione dell’AI come complementare e funzionale all’intelligenza umana
8.1
screening score · 2026-10-23
Human Oversight
4/5Humans remain in control of consequential decisions
prevedere un controllo umano sul funzionamento del sistema di AI, anche se le modalità di tale controllo possono variare a seconda del contesto.
2.2.1
screening score · 2026-10-23
Privacy
4/5Protection of personal data and private life
Il regolamento generale sulla protezione dei dati personali (GDPR) ha portato all’affermazione di principi fondamentali, come quello della data minimisation
2.2.2
screening score · 2026-10-23
Transparency
4/5Openness about how AI systems work and are used
Gli utenti dovrebbero avere il diritto alla trasparenza su quali parametri le offerte di mercato sono basate e su come le macchine sono arrivate a tali risultati.
4.2
screening score · 2026-10-23
Impact Assessment
4/5Required assessment of an AI system's risks/impacts before or during use
Adottare il Trustworthy AI Impact Assessment (TAIA) definito a livello europeo come strumento di risk assessment
8.3.1
screening score · 2026-10-23