The OECD.AI Policy Navigator

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.

On March 13, 2024, the Artificial Intelligence Commission submitted a report to the French President containing 25 recommendations to make France a major player in the artificial intelligence (AI) technological revolution.

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.

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.

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.

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.