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Artificial intelligence (AI) is being employed in ever more scientific disciplines, enabling scientific breakthroughs and becoming an indispensable tool in the scientific process. Many applications of AI are clearly , as the latest Nobel Prize awards in Chemistry and Physics uniquely attest. To reap the full benefits of the development and uptake of AI in science, the EU needs to tackle important challenges, including concerns about its strategic autonomy, novel trends in scientific work, disparities of the labour market.. For this reason, the European Commission (EC) is working on a European AI in Science Strategy, shaped together with the European scientific community. One of the is to support the development of AI and other frontier technologies by pooling all European capacities and resources.

However, AI also has the potential to interfere with the ethical conduct of scientific research and the open deliberation on its outcomes. Even before the massive advent of AI, there was an ongoing trend towards an inflation of scientific publications. The abusive use of Large Language Models, based on generative AI, to write scientific papers is aggravating this trend. This could eventually lead to a situation where the number of publications is so large that human researchers can no longer keep up, leaving them dependent on summaries and alerts delivered by AI, or even requiring AI for 'peer reviewing'. A similar situation could play out in generating grant applications and evaluating them. Live scientific dialogue risks being replaced by an automatic exchange between different AI applications.

At the same time, transparent use of AI may facilitate scientific communication, providing oversight against abuse, while helping researchers keep abreast of their field and equipping them for multi-disciplinary work. Tackling these issues requires a delicate balance to make the most of AI capabilities, without letting it dominate the process. This may call for the establishment of agreed standards aiming at guaranteeing research integrity and enforcing ethical scientific communication. Implementation and enforcement of such standards can be greatly facilitated by technological advances, including AI.

This event aims to lay the ground for a fruitful debate that looks into this topic from all angles, from the undeniable advantages to the risks associated with an extensive deployment of AI together with the ways to counter them. MEPs, together with the EC and researchers, will discuss the opportunities and challenges of the use of AI in science.

13:00 - 13:05 Welcome and Introductory remarks

路 Lina GALVEZ, MEP and STOA Vice-Chair

13:05 - 13:25 Introductory speech

路 Serge BELONGIE, Director at the Pioneer Centre for Artificial Intelligence, University of Copenhagen

13:25 - 14:20 Panel 1: AI enabled science for a more competitive Europe

路 Maria Cristina RUSSO, Director of Prosperity, DG RTD, European Commission
路 Francesca CAMPOLONGO, Director for Digital Transformation and Data, JRC
路 Ana GARCIA ROBLES, Secretary General of Big Data Value Association
路 Wijnand IJSSELSTEIJN, Professor of Cognition and Affect in Human-Technology Interaction, Eindhoven University

Q&A session

14:20-14:35 Break

14:35 - 14:55 Introductory speech

路 Sonia ANTORANZ CONTERA, Professor of Biological Physics, Univ. Oxford

14:55 - 15:50 Panel 2: AI and the scientific dialog

路 Lex BOUTER, Professor Emeritus of Methodology and Integrity, Vrije Universiteit Amsterdam
路 Anita DE WAARD, Vice-President of Research Collaborations, Elsevier
路 Sebasti谩n VENTURA SOTO, Professor of Computer Science and AI, vice-rector of digital transformation at Univ. C贸rdoba
路 Elizabeth GADD, Vice-Chair, Coalition for Advancing Research Assessment (CoARA)

Q&A session

15:50 - 16:00 Closing remarks

路 Lina GALVEZ, MEP and STOA Vice-Chair

* Room SPINELLI 5E2 *

The event will be held in English only, without interpretation.
The event will be webstreamed. The link will be published on the event page.
Please register only if attending physically.