Strategia italiana per l'intelligenza artificiale 2024-2026
STRATEGIA ITALIANA PER L’INTELLIGENZA ARTIFICIALE 2024-2026
The Italian Strategy for Artificial Intelligence 2024-2026 sets a national agenda to foster trustworthy, human-centric, and sustainable AI development in alignment with European frameworks. It focuses on four key pillars: research, public administration, enterprise adoption, and education, supported by foundational infrastructure and a coordinating foundation. The document also addresses risks such as cultural homogenization, the digital divide, and regulatory burdens while promoting Made in Italy industrial applications.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Policymakers, public administrators, business leaders, researchers, and educators who need guidance on Italy's national AI policies and priorities.
What the document contains
The document covers Italy's national AI strategic goals, context analysis, specific action plans for research, public administration, business adoption, and education, as well as enabling infrastructures, risk mitigation, monitoring frameworks, and regulatory alignment with the European Union.
Binding legislative text or legally enforceable mandates; detailed individual project budgets; specific penalties for non-compliance outside of general EU regulatory references.
- The strategy outlines a comprehensive 2024-2026 roadmap for Italy to become a key protagonist in the international AI ecosystem.
- It emphasizes four strategic pillars: Research, Public Administration, Enterprises, and Education.
- It proposes establishing a dedicated Artificial Intelligence Foundation to coordinate implementation, funding, and monitoring.
- It highlights the importance of country-specific models and data registries to preserve national industrial excellence and cultural heritage.
- It stresses the need for extensive upskilling, reskilling, and digital literacy programs across schools, enterprises, and public bodies.
· Premessa · Analisi del contesto · Principi della strategia · Architettura della strategia · Strategia per la ricerca · Strategia per la pubblica amministrazione · Strategia per le imprese · Strategia per la formazione · Monitoraggio della strategia · Organi regolatori
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
si realizzerà un programma mirato alla definizione di un registro di dataset e modelli, che siano costruiti secondo principi di trasparenza e fairness
A.1 | PATRIMONIO DI CONOSCENZA NAZIONALE: DATASET E MODELLI
screening score · 2026-10-23
Transparency
3/5Openness about how AI systems work and are used
(i) trasparenza sui dati di training, per garantire il rispetto delle leggi sulla non discriminazione, la privacy (GDPR), la tutela dei diritti umani, fornendo informazioni affidabili sulle fonti in base alle quali vengono generati i contenuti;
R.3 | PROGETTAZIONE DI LMM ITALIANI
screening score · 2026-10-23
Impact Assessment
4/5Required assessment of an AI system's risks/impacts before or during use
la definizione di iniziative finalizzate alla formazione del personale che possano consentire di innalzare il livello delle competenze degli utenti su soluzioni tecnologiche avanzate e verticalizzate sullo sviluppo di processi certificabili, scalabili e condivisibili a livello nazionale.
PA.3 | LINEE GUIDA PER LA REALIZZAZIONE DI APPLICAZIONI DI IA NELLA PUBBLICA AMMINISTRAZIONE
screening score · 2026-10-23