National Strategy for Artificial Intelligence – 2nd Phase: Conquering talents and transforming our scientific potential into economic successes
STRATÉGIE NATIONALE POUR L’INTELLIGENCE ARTIFICIELLE – 2e phase Conquérir les talents et transformer notre potentiel scientifique en succès économiques
This press dossier outlines the second phase of France's National Strategy for Artificial Intelligence (2021-2025), backed by 2.22 billion euros in public and private funding. It focuses on massively increasing AI training and skills, establishing leadership in embedded, frugal, and trustworthy AI, and accelerating the adoption of AI systems across the economy and public sector. The strategy builds on the successes of its 2018-2022 predecessor by strengthening research capabilities, supercomputing access, and startup growth.
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Who issued it
Who it governs
This document is for researchers, businesses, public authorities, and students interested in France's national funding priorities and policies for artificial intelligence development.
What the document contains
The document covers the strategic objectives, financial allocations, and governance mechanisms for France's second phase of AI policy, focusing on talent development, embedded and trustworthy AI research, and economic diffusion.
The document does not contain binding regulatory text, specific statutory legislation, or detailed operational compliance manuals for individual companies.
- France is committing 2.22 billion euros over five years (2021-2025) for the second phase of its National Strategy for AI.
- More than 50% of the total budget is dedicated to a massive training and education plan to overcome the shortage of AI skills.
- The strategy prioritizes positioning France as a global leader in embedded AI, frugal AI, and trustworthy AI.
- Public investment aims to support startups, accelerate R&D transfer, and help 400 to 500 SMEs and intermediate-sized enterprises adopt AI solutions.
- The plan builds on the achievements of the 2018-2022 strategy, which included setting up interdisciplinary AI institutes and expanding supercomputing capacity like the Jean Zay computer.
· Éditorial · Introduction · Stratégie nationale pour l’IA : la France aux avant-postes européens · Capitaliser et accélérer dans les 5 prochaines années · Gouvernance
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
2/5Clear responsibility for AI outcomes
les personnes qui utiliseront professionnellement les systèmes d’IA, qui seront chargées de leur maintenance ou encore responsables des conséquences de leur usage
Compétences et talents : un plan massif de formation à l’IA
screening score · 2026-10-23
Fairness
2/5Non-discrimination and equitable treatment
et notamment les principes d'alignement du fonctionnement avec les fonctions d'objectifs, de généralisation, de robustesse, d'explicabilité ou interprétabilité, de limitation des biais
Un nouveau programme de recherche pour lever certains verrous scientifiques de l’IA
screening score · 2026-10-23
Human Dignity
0/5Respect for the inherent worth of persons
screening score · 2026-10-23
Human Oversight
2/5Humans remain in control of consequential decisions
pour assurer un bon niveau de contrôle et de fiabilité des IA
Occuper une place de premier rang pour l’IA de confiance
screening score · 2026-10-23
Privacy
3/5Protection of personal data and private life
Les technologies de protection des données sensibles, au premier rang desquelles les données relatives à la vie privée, sont enfin un domaine de recherche et un marché en pleine expansion.
L’IA, paradigme technologique toujours en plein essor
screening score · 2026-10-23
Enforcement
1/5Consequences and compliance mechanisms with real force
A sa façon, il aura un impact au moins aussi fort que le RGPD.
Occuper une place de premier rang pour l’IA de confiance
screening score · 2026-10-23
Impact Assessment
3/5Required assessment of an AI system's risks/impacts before or during use
technologies qui permettront demain d’évaluer, d’auditer et de certifier les algorithmes afin que ceux-ci ne constituent plus des boîtes noires.
Éditorial
screening score · 2026-10-23