The OECD.AI Policy Navigator

The strategy aims to position France as a leader in digital health by fostering innovation and supporting the development of advanced e-health solutions, with a specific focus on integrating AI-based technologies, e.g. by funding medical imaging advancements, developing AI-based diagnostic and treatment tools, and ensuring secure and ethical use of health data.

The Plan aims to provide patients with timely access to the latest genomic innovations and integrate genomics into routine healthcare to improve diagnosis and treatment, reduce diagnostic errors, and personalise therapeutic strategies.

The Public Digital Campus brings together and promotes the interministerial digital training offering. The goal is to equip public sector employees—both within and beyond the digital field—with transformative knowledge and skills that are essential for energising public action and delivering high-quality digital services.

Several relevant initiatives developed as part of public service modernisation efforts (and with an explicit commitment to using open-source components and follow open data practice).

France’s AI Demonstrators initiatives (DIAC and DIAT) support the development and testing of trusted and applied AI technologies. They fund projects that demonstrate AI in real-world settings across healthcare, mobility, industry, energy, and critical infrastructure. The programmes aim to strengthen the position of French AI companies and accelerate the adoption of AI in society and the economy.

Designed as a digital health development center in Paris, PariSanté Campus brings together public institutions, research institutes, and startups to foster innovation in digital health, emphasising AI applications in healthcare.

Within France’s 2030 strategy, this programme accelerates innovation in key fields, including AI in healthcare. By supporting foundational AI research, it drives advancements in medical imaging, predictive analytics, and therapeutic development. The programme also fosters digital health innovation through AI-powered personalised medicine and diagnostics, while encouraging collaboration between research institutions, healthcare providers, and industry.

The OcéanIA Challenge develops AI and mathematical modeling tools to improve understanding of the ocean. It focuses on the ocean’s structure, dynamics, and role in regulating the biosphere. The initiative also supports efforts to combat climate change.

In France, several initiatives integrate climate and environmental aspects of AI into education and training. These include university programmes, MOOCs, and educational content on sustainable digital technologies. The goal is to raise awareness of the environmental impacts of AI and ICT among students and professionals.

As part of the national strategy on electronics, France supports initiatives aimed at developing advanced semiconductor technologies.

The research projects selected and funded should implement multidisciplinary and systemic approaches based on the hybridisation of expertise from agronomy, ecology, genetics, physiology, ethology, digital technology, artificial intelligence, and social sciences (economics, sociology, management sciences, ergonomics). The funded infrastructures and equipment should be structured and provide data and methods for agroecological practices.

Programme launched as part of France 2030 to promote frugal, agile and sustainable digital solutions. Spintronics is an emerging technology with multiple potential applications in the context of AI solutions.

In 2023, DeepGreen project partners launched the first open-source software platform for embedded AI: the Eclipse AIDGE platform.

The French National Institute of Geographical and Forest Information (IGN) leads several AI-enhanced projects supporting land use, ecology, and agriculture. These include LiDAR HD (3D national mapping), OCS GE (land cover classification), CarHab (habitat modelling), AI4GEO (automated 2D/3D mapping from satellite data), CAP monitoring (with MASA/ASP), and BDForêt (forest reference mapping), advancing data-driven public policy and environmental management.

France's agritech acceleration strategy supports innovation in agriculture through AI-driven projects and targeted funding. Key initiatives include the development of smart farming solutions and data platforms. Notably, France has funded Agdatahub, a secure data intermediation platform designed to enhance data sharing across the agricultural and agri-food sectors.

Several regional and local AI networks have developed in France, with missions including network development, raising awareness of the benefits of AI, and technology demonstration.

France participates in the five Testing and experimentation facilities for AI. French players coordinate two of them (PREVAIL and AI MATTERS). France is also coordinating the ALT-EDIC initiative that integrates evaluation activities for advanced AI models.

This call for projects aims to create and make accessible digital commons across the entire generative AI value chain to foster the development of innovative products or services.

Scientifically co-piloted by the CEA and Inria as part of the new “Digital, algorithms and software” programme. Its goal is to propose significant advances in the performance, security and frugality of cloud infrastructures and services while emphasising the transfer of innovative solutions from research to the industry.

This call for proposals focuses on the downstream part of the generative AI value chain by encouraging the development of advanced integrated generative AI solutions with a short-term adoption horizon. It aims at bringing together developers and users of generative AI solutions and develop demonstrators for potentially replicable and economically viable solutions.