Strategic Programme on Artificial Intelligence 2022-2024
Italy ยท Strategy ยท Ministry of University and Research, Ministry of Economic Development, Ministry for Technological Innovation and Digital Transition
Our summary
Italy's strategic framework to strengthen its artificial intelligence sector over three years through twenty-four policies aimed at building talent, research capacity, and real-world applications. The program targets competitiveness in AI development and adoption across research institutions, industry, and public administration while establishing coordination mechanisms across government ministries.
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Strategic Programme on Artificial Intelligence
Italy's Strategic Programme on Artificial Intelligence 2022-2024 outlines twenty-four policies developed jointly by three ministries to strengthen the national AI ecosystem through skills development, research, and applications. The programme aims to position Italy as a globally competitive AI hub by supporting research and technology transfer, with funding identified from European and national sources.
Priority areas and intervention policies
The programme addresses three priority areas: talent and competencies through increased doctoral positions and STEM training; research ecosystem strengthening via academic-industry collaboration and national data platforms; and AI application expansion in both private enterprises and public administration through support for innovation, infrastructure development, and targeted start-up accelerator initiatives. A permanent working group on AI was established within the Interministerial Committee for Digital Transition to govern and coordinate implementation.
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Controls
What this policy requires, forbids, grants or penalises, one control at a time and in our own words. Each control links to the official text, which is the authority. This is not legal advice.
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Themes covered 6 of 35
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Risk and scope 1 of 4
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Data and privacy 1 of 4
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- Copyright and training data, not covered
Transparency and records 0 of 4
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Technical safeguards 0 of 4
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- Accuracy, robustness and cybersecurity, not covered
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Assurance and lifecycle 0 of 4
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Rights and protected groups 0 of 4
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Roles and organisation 4 of 6
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Enforcement and sectors 0 of 5
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Priority areas and intervention policies 6 controls
- ObligationApplies to: Public authorityDrafted by the Index
Public authorities should develop and coordinate policies across three priority areas: building talent and competencies in AI, strengthening the research ecosystem, and expanding AI applications in enterprises and public administration.
- ObligationApplies to: Public authorityDrafted by the Index
Public authorities should increase doctoral positions and STEM training to develop AI talent and skills.
- ObligationApplies to: Public authorityDrafted by the Index
Public authorities should strengthen collaboration between academic institutions and industry to advance the AI research ecosystem.
- ObligationApplies to: Public authorityDrafted by the Index
Public authorities should establish national data platforms to support AI research and development.
- ObligationApplies to: Public authorityDrafted by the Index
Public authorities should support innovation infrastructure development and start-up accelerator programmes to expand AI applications in enterprises.
- ObligationApplies to: Public authorityDrafted by the Index
Public authorities should use a permanent working group within the Interministerial Committee for Digital Transition to govern and coordinate AI programme implementation.
Change history
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