Brussels   |     |   By invitation only

Generative AI: How will it transform science and its impact on society?

A Science|Business  hybrid roundtable, organised in partnership with Elsevier (14:00 to 17:00 CET)

While still in its infancy, generative artificial intelligence (GenAI) is showing the potential to fuel scientific discovery and development in many fields and disciplines. Beyond the exciting prospect of unearthing new molecules or materials, it should prove a valuable tool for researchers to track worldwide developments in their field and others – and indeed for policy makers to access and utilise latest evidence, data and analysis on any topic. In parallel, funding bodies and publishers are also starting to realise the benefits of applying GenAI to extrapolate valuable knowledge from peer-reviewed content.

As in other sectors, GenAI’s transformation of science is clearly work in progress. Nevertheless, awareness is also growing around the risks that need to be managed, such as potential inaccuracies in and misinterpretations of scientific results. Questions of safeguarding against bias and ensuring fair evaluation are crucial – not to mention questions of privacy, security, copyright and ownership. Moreover, current and future users will need reassurance that models have been trained on trusted sources of information. Debates are also heating up around the business case for GenAI: where it will create added value for economies and societies, and how that value will be captured and shared.

Thus, as with many disruptive technologies, GenAI requires the research ecosystem to address some fundamental questions about the future. Commission President von der Leyen recently proposed three pillars to ensure the responsible and effective development of AI in Europe moving forward: guardrails, governance and guiding innovation. These three pillars are all interconnected. Guardrails provide the necessary boundaries and protections, governance ensures proper oversight and accountability, and guiding innovation ensures AI development is directed towards beneficial and productive outcomes. 

In order to examine these topics further, on November 29 Science|Business will convene a select group of senior figures and experts – from Europe and beyond – to explore a ‘triple helix’ of issues: how GenAI is reshaping the world of science, the future implications for science’s impact on society, and where policy makers should focus their efforts to ensure the best possible outcomes from this transformative technology.

Liviu Stirbat
Member of Cabinet, Policy coordinator, Cabinet of Executive Vice-President Margrethe Vestager, European Commission
Maxim Khan
SVP Analytics Products and Data Platform, Elsevier
Elizabeth Crossick
Head of Government Relations - EU & Global AI Policy Lead, RELX
Arlindo L. Oliveira
President, INESC
Dan F. Nechita
Head of Cabinet for Dragos Tudorache, European Parliament
Kai Zenner
Head of Office and Digital Policy Adviser to MEP Axel Voss, European Parliament
Federico Menna
Chief Executive Officer, EIT Digital
Marc-Antoine Dilhac
Chair, AI Ethic, CIFAR, University of Montreal
Dag Rune Olsen
Rector, University of Tromsø – The Arctic University of Norway
Saikiran Chandha
Founder & CEO, SciSpace
Stefan Leijnen
Head of EU Relations, AiNed
Alistair Nolan
Senior Policy Analyst, Directorate for Science, Technology and Innovation, OECD
Raluca Csernatoni
Research Fellow, Carnegie Europe
Shalini Kurapati
Chief Executive Officer, Clearbox AI
Willem Jonker
Chair, AiNed Foundation
Alberto Mittestainer
Head of EU Government Relations, NVIDIA
Corinna Schulze
Director, EU Government Relations, Global Corporate Affairs, SAP
Andrea Renda
Director, Research; Head of Unit, Global Governance, Regulation, Innovation and the Digital Economy, CEPS
Sue Daley
Director, Technology and Innovation, techUK
Morten Irgens
Special Adviser, OsloMet
Ramon Wyss
Professor Emeritus, KTH Royal Institute of Technology
Ulises Cortes
High Performance AI Group Manager, Barcelona Supercomputing Center; Board Member, EurAI
Marija Slavkovik
Professor, Artificial Intelligence; Head, Department of Information Science and Media Studies, University of Bergen
Marina Chugunova
Senior Research Fellow, Max Planck
Fredrik Heintz
Professor, Head of Division, AIICS, Linköping University
Holger Hoos
Professor of Machine Learning, Leiden University
Jakub Tomczak
Associate Professor & Generative AI Team Lead, TU Eindhoven
Antal van den Bosch
Professor, Humanities, Utrecht University
Simon Pickard
Network Director, Science|Business (moderator)
Practical Information
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For further information, please contact Denitsa Nikolova at [email protected]