18 December, 11.00-12.00 CET - This webinar is for EUA members only 

As artificial intelligence becomes more deeply embedded in science, it has the potential to transform research systems and drive scientific discovery in a disruptive way. By automating processes and streamlining workflows, AI tools can enhance productivity, efficiency and accuracy. This opens up apparent benefits for researchers across disciplines, as well as for communities and societies, more broadly.

For many practitioners, the advantages of applying AI and other emerging technologies in scientific research outweigh potential risks. But as the actual and potential use cases multiply, the debate around the ethical and social implications, and need to maintain public trust in scientific processes, becomes more urgent.

This webinar will explore recent trends and policy developments in the use of artificial intelligence in science, with a case study and interventions from European Commission and OECD experts.

Participants will be invited to reflect on the relationship between policy and practice and share their views on whether – and how – building adequate framework conditions for the use of AI can foster innovation, mitigate risks, and encourage scientific exploration for the benefit of research communities and citizens.


  • Alistair NolanSenior Policy Analyst, Directorate for Science, Technology and Innovation, OECD
  • Anna Scaife, Alan Turing Institute, University of Manchester
  • Daniela Petkova, Digital and AI Team, DG Research and Innovation, European Commission
  • David Arranz, Digital and AI Team, DG Research and Innovation, European Commission


This webinar is open to EUA members only, by registering you accept that the organisers check your organisation membership and you are aware that your registration can be denied if your institution is not an EUA member.

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