Egenis/IDSAI seminar: "Machine Learning in science: Dimension of understanding", Dr Emily Sullivan (Eindhoven University of Technology)
More and more sciences are turning to machine learning (ML) technologies to solve long-standing problems or make new discoveries—ranging from medical science to fundamental physics. At the same time, the exact same modelling technologies are used across society ranging from determining what news we see on social media to fraud detection and criminal risk assessment. The ever-growing fingerprint ML modeling has on the production of scientific and social knowledge comes with opportunity and also pressing challenges.
|An Egenis, the Centre for the Study of Life Sciences seminar
|11 March 2024
|15:30 to 17:00
In this talk, I discuss how philosophy of science and epistemology can help us understand the potential and limits of ML used for science and society. Specifically, I will draw the themes regarding the nature of scientific modeling, understanding, explanation, and idealization.
Venue Byrne House
Virtual: via Zoom