[Announcement and Registration for the 2025 Seoul Workshop on Philosophy of Machine Learning]

Hello,

Seoul National University will host the "2025 Seoul Workshop on Philosophy of Machine Learning" on February 25–26, 2025, an international workshop dedicated to philosophical discussions on artificial intelligence and science.

This workshop will explore how AI technologies are transforming scientific practices and their societal implications from a philosophical perspective. We have invited leading scholars from Korea and abroad, along with emerging researchers, to present and discuss these topics. We welcome the participation of anyone interested in this field.

To register, please follow the link below:

https://bit.ly/philofML

Workshop Website: https://25swpml.wordpress.com/

Workshop Overview

• Theme: Artificial Intelligence, Science, and Society: The Philosophical Perspectives
• Date: Tuesday, February 25 – Wednesday, February 26, 2025
• Venue: Seoul National University Bldg. 25-1 International Conference Room
• Organizers: Institute for Data Innovation in Science, AI Institute ELSI Center, Graduate School of Science Policy, Institute of Philosophy
• Sponsor: SNU Global-Learning & Academic Research Institute for Masters, Ph.D students and Postdoctors (G-LAMP)

Workshop Background

• AI and big data are transforming science. The 2024 Nobel Prize in Chemistry was awarded to researchers who developed AlphaFold and RoseTTAFold, AI models that predict protein structures. AI is increasingly recognized as a tool for groundbreaking scientific discoveries, such as designing new chemical compounds and identifying previously unknown celestial bodies.
• At the same time, AI-driven scientific activities challenge the traditional theory- and explanation-based understanding of science. The traditional view that science explains phenomena through theories to provide an understanding of the world is being challenged, and the extent to which AI can replace scientific research activities, as well as the possibility of fully automating science, has emerged as a major research topic.
• This workshop will address various epistemological and ethical issues concerning the impact of AI, machine learning, and computer simulations on scientific practices and society.

Invited Speakers:
  - Cameron Buckner (University of Florida)
  - Andre Curtis-Trudel (University of Cincinnati)
  - Thomas Grote (Tuebingen University)
  - Insok Ko (Inha University)
  - Emily Sullivan (Eindhoven University)
  - Kate Vrendenburgh (London School of Economics)
  - Yeongseo Yeo (Dongduk Women’s University)

Contributed Speakers:
  - Lee-sun Choi (Ewha Womans University)
  - Konstantin Genin (Tuebingen University)
  - Bojana Grujicic (Max Planck School of Cognition)
  - Wonki Her (Seoul National University)
  - Sangsu Kim (Korea Military Academy)
  - Yubeen Kwon (Seoul National University)
  - Hyeong-suk Lee (Seoul National University)
  - Nikolaj Jang Lee Linding Pedersen (Yonsei University)
  - Injin Woo (Sungkyunkwan University)

Contacts:
  - Organizer: Hyundeuk Cheon (Seoul National University)
  - Email: Mr. Hanseul Lee (snuaielsi@gmail.com)