Artificial Intelligence is a disruptive technology with the potential to significantly impact all aspects of human life. Its main characteristics—extracting value from data, autonomous learning, and problem-solving—make it potentially transformative for research and innovation.
This MLE aims to facilitate the exchange of information, experiences, and lessons learned, and to identify good practices in national AI policies for science. It will target national administrations and focus on sharing national practices at both operational and strategic levels.
The following topics will be addressed by the MLE:
- Topic 1: Framework conditions and funding for AI in Science.
- Topic 2: Infrastructures for AI in Science.
- Topic 3: Talent for AI in Science.
Documents
The summary factsheet presents the objective of the mutual learning exercise, key topics of interest, scheduled meetings, names of the experts and DG R&I Policy Officers.
This report explores successful policy and funding models for AI in science from across Europe and proposes recommendations to create an enabling environment for AI in science innovation.
This thematic report comprises an analysis of national strategies and policies for fostering AI in science infrastructure, current challenges, and policy suggestions.
The thematic report explores the challenges and opportunities in developing, attracting, and retaining AI talent in science across Europe.