Programma strategico Intelligenza Artificiale 2022-2024
Italy's National Strategy for Artificial Intelligence 2022-2024 outlines a comprehensive framework to strengthen the country's AI research ecosystem, attract talent, and boost technology adoption across businesses and the public administration. It is built on six strategic objectives, eleven priority sectors, and twenty-four specific policies funded largely through the National Recovery and Resilience Plan (NRRP) and other national funds. The strategy emphasizes a human-centric, reliable, and sustainable approach to AI aligned with European Union guidelines and regulatory proposals.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
This document is for policymakers, researchers, business leaders, and public administration officials seeking guidance on Italy's national AI priorities and funding initiatives.
What the document contains
The document addresses Italy's competitive positioning in AI, outlines six strategic objectives and eleven priority sectors, and details twenty-four policy actions spanning talent development, fundamental and applied research, business innovation, and public administration modernization.
The document does not provide binding legal regulations or enforcement mechanisms, functioning instead as a strategic policy and investment roadmap.
- Italy's AI strategy sets six main objectives and eleven priority sectors for the 2022-2024 period, backed by twenty-four distinct policies.
- The document identifies key structural weaknesses in Italy's AI ecosystem, including low private R&D spending, a lack of scaling businesses, and a low patent generation rate despite strong scientific research.
- Funding heavily leverages the National Recovery and Resilience Plan (NRRP) alongside national science and innovation funds.
- Interventions are divided into three core areas: talents and skills, research, and applications for businesses and the public administration.
- A permanent working group within the Interministerial Committee for Digital Transition will monitor and evaluate the execution of the strategy.
· Executive summary · 1. Contesto: la posizione competitiva dell'Italia e le prossime sfide · 2. Il programma strategico sull'intelligenza artificiale: ancoraggio, principi e obiettivi · 3. Aree strategiche di intervento e politiche · 4. Governance
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Fairness
3/5Non-discrimination and equitable treatment
sviluppando piani di apprendimento personalizzati nei limiti dei principi di equità e affidabilità.
Settori prioritari
screening score · 2026-10-23
Human Dignity
3/5Respect for the inherent worth of persons
Ciò significa che lo sviluppo dell'IA deve essere incentrato sull'inclusione economica e sociale, sui diritti umani e sulla sostenibilità ambientale.
2.2 Principi guida
screening score · 2026-10-23
Human Oversight
2/5Humans remain in control of consequential decisions
L'intelligenza artificiale italiana sarà antropocentrica, affidabile e sostenibile.
2.2 Principi guida
screening score · 2026-10-23
Privacy
3/5Protection of personal data and private life
nel rispetto delle regole del GDPR e dei principi di privacy by design, ethics by design e human centred design
E. IA modernizzare la pubblica amministrazione
screening score · 2026-10-23
Transparency
3/5Openness about how AI systems work and are used
L'IA deve essere progettata e implementata in modo responsabile e trasparente, affinché possa rispondere alle sfide della società
2.2 Principi guida
screening score · 2026-10-23
Enforcement
4/5Consequences and compliance mechanisms with real force
Definizione di un sistema di governance nazionale (riferendosi il più possibile alle istituzioni e autorità nazionali esistenti nel settore) a supporto della certificazione dei prodotti di IA immessi sul mercato
D.4 Supportare le imprese nella certificazione dei prodotti di IA
screening score · 2026-10-23