Design and implement appropriate training to support the appropriation of AI and its evolution: initial training, training for young people from middle school, lifelong training for adults, vocational training,
etc.
Develop research structures and connect them to the business world to create synergy between research, industrial and societal needs.
Develop a research that fosters innovation, creativity and development of disruptive and innovative tools of high added- value technology products (including tools to deploy for educational innovation).
Put a particular emphasis on start-ups and youth entrepreneurship.
Transfer the results of the research conducted in partnership with the economic world (R&D) and innovations to companies on the one hand and to society on the other.
Promote the creation of an R&D ecosystem (fostering multidisciplinarity and collaboration with existing research centers, national and international research laboratories), entrepreneurship and innovation (FabLab,
Start-ups, SMEs, VSEs, etc.) with short cycles and synergies for creativity.
Ensure and maintain a strategic and geopolitical vision concerning transformations induced by AI.
Develop tools such as “Think Tanks” or “convergence” institutes to shed light on the societal, economic, ethical and (geo)political impact of AI developments.