ML, Explain Yourself!: Perspectives from Philosophy and Computer Science

Machine learning (ML), including large language models and other deep learning models, are encroaching on nearly all our knowledge institutions. Ever more scientific fields—from medical science to fundamental physics—are turning to ML to solve long-standing problems or make new discoveries. At the same time, ML is used across society to gain knowledge and information. DL models determine social-media newsfeeds, aid governments and industry in detecting fraud, and now ChatGPT has become integrated with Bing search and Quora.com answers. It is essential that we understand the potentials and challenges that come with using ML as a way of structuring all of our knowledge.

Together with the Normative Philosophy of Science Lab at Utrecht University and Eindhoven University of Technology, ML, Explain Yourself! is the capstone conference for the Dutch Research Council Veni project: Explain yourself!? The scope of understanding and explanation from machine learning. The conference will bring together philosophers and computer science researchers to discuss issues in ML surrounding decision support, scientific discovery, generalization, idealization, reliability, values, trust, and other areas in normative philosophy of science.

The conference will be held on April 10-12, 2024 at Utrecht University, Netherlands Conference website: https://ephil.ai/event/conference-ml-explain-yourself/

Registration is free, but required. Please register at: https://forms.gle/rTpWv7QPaB371Ey56

Keynote speakers include:

Lauren Ross, Philosophy, UC Irvine

Zack Lipton, Computer Science, Carnegie Mellon University

Nava Tintarev, Computer Science and HCI, Maastricht University