Artificial Intelligence and the Future of Science

November 20 - 21, 2024

Lingnan University, Hong Kong SAR

Recent years have witnessed a resurgence of interest in artificial intelligence (AI) for science. Deep learning models, and especially generative models, are poised to radically reshape scientific practice. Some commentators even suggest that we are in the midst of an AI 'revolution' in science. Yet we are only beginning to grapple with the potential impact on future science. This conference will bring together philosophers and scientists to anticipate and address some of the more pressing epistemological and methodological challenges raised by AI for science in the short- and medium-term.

Talks

• CURTIS-TRUDEL André & ROWBOTTOM Darrell, Beyond Explainable Al: A Liberal Framework for Explaining and Understanding Scientific Al

• FREIESLEBEN Timo, What Is Bare-Bones Machine Learning Still Missing for a General Scientific Methodology?

• GALLO Giovanni, Deep-learning Models and Scientific Understanding through Explanations and Descriptions

• KRENN Mario, Towards an Artificial Muse for New Ideas in Science

• MILLIÈRE Raphaël, Artificial Cognitive Science

• MOCKL Leonhard, The Logical Position of the Hypothesis

• OTSUKA Jun (大塚 淳), Changing Ideals of Science in the Age of AI

• SCHUSTER Annika, From Objectual to Explanatory Understanding with AlphaFold2

• STOLL Frauke, Understanding Particle Physics with Deep Networks and Explainable AI

Venue

The conference will be held in the Leung Fong Oi Wan Art Gallery at Lingnan University, Hong Kong.

Funding

This conference is fully supported by a Senior Research Fellowship award from the Research Grants Council of the Hong Kong SAR, China (‘Philosophy of Contemporary and Future Science’, Project no. SRFS2122-3H01).