Skip to content
Submit incident
ActiveAdopted and in force, or in effect for the bodies it covers.

France 2030: National Strategy for Artificial Intelligence

France Β· Strategy Β· Government of France

Our summary

A comprehensive national strategy launched by the French government to establish France as a leading AI power in Europe and globally. The strategy operates in two phases: the first phase (2018-2022) focused on building competitive research capabilities through funding of institutes and doctoral programs, while the second phase (2021-2025) aims to distribute AI technologies across the economy in priority areas including embedded, trustworthy, frugal, and generative AI. The initiative includes objectives for training tens of thousands of students, supporting deep tech development, attracting international talent, and assisting small and medium enterprises in adopting AI solutions.

Written by the Index in our own words. It is not legal advice; the official text is the authority.

Inside this policy

Every section of this policy in order. Our notes summarise each one in plain language and do not quote the official text, which is the authority.

Drafted by the Index An automated summary of the official text, not yet reviewed by a person.Reviewed Checked by a person against the official text.

9 sections

Jump to a chapter

Two phases of the national AI strategy

2 sections

The strategy consists of two phases: the first from 2018 to 2022 aimed to establish competitive research capabilities in France, and the second from 2021 to 2025 aims to distribute AI technologies throughout the economy.

Drafted by the Index
  1. Phase 1 (2018-2022): competitive research capacity

    This initial phase received 1.5 billion euros in funding to establish a network of interdisciplinary AI institutes, create 180 excellence chairs and 300 doctoral programs, and deploy a supercomputer.

    Drafted by the Index
  2. Phase 2 (2021-2025): diffusing AI throughout economy

    This second phase, funded with 1 billion euros, supports development and innovation in embedded, trustworthy, frugal, and generative AI, and is structured around three pillars: supporting deep tech offerings, training and attracting talent, and bridging supply and demand for AI solutions.

    Drafted by the Index

National AI strategy objectives by 2025

3 sections

The strategy defines objectives across three areas: building skills and talent, developing embedded, frugal, and trustworthy AI, and spreading AI adoption throughout the economy.

Drafted by the Index
  1. Skills and talent

    The strategy targets training 40,000 to 100,000 students annually in AI, funding 200 additional doctoral positions per year, positioning at least one French institution among the world's leading AI research and training facilities, and recruiting 15 renowned international scientists by January 2024.

    Drafted by the Index
  2. Embedded, frugal and trustworthy AI

    The strategy aims to capture 10 to 15 percent of the global embedded AI market by 2025, support 10 projects demonstrating frugal AI, and deliver 3 to 4 European-scale platforms for developing, testing and experimenting with embedded or decentralized and trustworthy AI.

    Drafted by the Index
  3. AI diffusion

    The strategy strengthens research-to-innovation transfer by scaling accelerators, supports 400 small and medium-sized enterprises in adopting AI solutions by 2025, and develops sovereign open platforms and their ecosystems in data science, machine learning and robotics.

    Drafted by the Index

Follow us on social media

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.

Drafted by the Index Drafted automatically from the official text, not yet reviewed by a person.Reviewed Checked by a person against the official text.

Themes covered 4 of 35

Choose a theme to see only its controls. About the themes

Risk and scope 0 of 4

  • Risk classification, not covered
  • Prohibited practices, not covered
  • Risk management system, not covered
  • Impact assessment, not covered

Data and privacy 0 of 4

  • Data governance and quality, not covered
  • Data subject rights and consent, not covered
  • Cross-border data transfer, not covered
  • Copyright and training data, not covered

Transparency and records 0 of 4

  • Transparency and disclosure to users, not covered
  • Labelling of synthetic content, not covered
  • Technical documentation, not covered
  • Record keeping and logging, not covered

Technical safeguards 1 of 4

  • Human oversight, not covered
  • Bias and non-discrimination, not covered
  • Testing and evaluation, not covered

Assurance and lifecycle 0 of 4

  • Conformity assessment and certification, not covered
  • Registration and notification, not covered
  • Incident and breach reporting, not covered
  • Post-market monitoring and corrective action, not covered

Rights and protected groups 0 of 4

  • Automated decision-making rights, not covered
  • Children and vulnerable groups, not covered
  • Biometric identification and surveillance, not covered
  • Whistleblowing, complaints and redress, not covered

Roles and organisation 3 of 6

  • Supply chain and provider-deployer duties, not covered
  • Accountability and governance roles, not covered
  • Public sector use and procurement, not covered

Enforcement and sectors 0 of 5

  • Enforcement, penalties and regulators, not covered
  • Sector rules: health, not covered
  • Sector rules: finance and insurance, not covered
  • Sector rules: employment, not covered
  • Sector rules: education, not covered

7 controls

Group by

Phase 1 (2018-2022): competitive research capacity 1 control

  1. ObligationApplies to: Public authorityDrafted by the Index

    The government will fund the establishment of a network of interdisciplinary AI institutes, create excellence chairs and doctoral programs, and deploy a supercomputer to build competitive research capacity.

Phase 2 (2021-2025): diffusing AI throughout economy 1 control

  1. ObligationApplies to: Public authorityDrafted by the Index

    The government will fund the development and deployment of embedded, trustworthy, frugal, and generative AI throughout the economy by supporting deep tech companies, training talent, and connecting AI supply with demand.

    Phase 2 (2021-2025): diffusing AI throughout economy

Skills and talent 1 control

  1. ObligationApplies to: Public authorityDeadline was Drafted by the Index

    The government will fund training for 40,000 to 100,000 students annually in AI, create additional doctoral positions, establish a leading French AI research and training institution, and recruit international scientists.

    Skills and talent

Embedded, frugal and trustworthy AI 1 control

  1. ObligationApplies to: Public authorityDeadline was Drafted by the Index

    The government will support development of embedded, frugal and trustworthy AI by funding market capture efforts, demonstrating frugal AI projects, and building European-scale platforms for testing and experimentation.

    Embedded, frugal and trustworthy AI

AI diffusion 3 controls

  1. ObligationApplies to: Public authorityDrafted by the Index

    The government should scale accelerators to strengthen the transfer of research discoveries into commercially viable innovations.

    AI diffusion
  2. ObligationApplies to: Public authorityDeadline was Drafted by the Index

    The government should support four hundred small and medium-sized enterprises in adopting AI solutions by 2025.

    AI diffusion
  3. ObligationApplies to: Public authorityDrafted by the Index

    The government should develop sovereign open platforms and associated ecosystems in the areas of data science, machine learning and robotics.

    AI diffusion

Change history

  1. Official text wording
    Source for this change (opens in a new tab)