Lingnan-Cambridge Conference on AI in Science

Dec 1 - 2, 2023

University of Cambridge, Cambridge UK

Artificial intelligence (AI), is increasingly used in science, with striking and remarkable results. Yet philosophers of science are only beginning to grapple with the impact of AI in science, both as it pertains to contemporary science, as well as its potential ramifications for future science. This conference will provide a venue for philosophers of AI and science to discuss issues arising in connection with the use of AI in contemporary science, and to consider the potential challenges raised for by AI for future science. These include issues in scientific methodology, epistemology, and the broader role of science in society. 

Invited Speakers

Conference Venue:

Room SG1, Alison Richard Building

7 West Rd, Cambridge CB3 9DP, United Kingdom 

University of Cambridge, Cambridge, UK

Google map: here.


Friday, December 1

8:00 - 8:50 Registration
8:50 - 9:00 Opening Remarks

9:00 - 9:40 Lena Kästner, ``The Weal and Woe of Black Box Systems''
9:45 - 10:30 Emily Sullivan, ``Machine learning in science: Just a toy?''
10:20 - 11:00 Stephan Guttinger, ``Beyond opacity: the challenge of automated research''

11:00 - 11:30 Coffee break

11:30 - 12:10 Vlasta Sikimić, ``Values and automated grant review: normative theories or vox populi?''
12:10 - 12:50 Konstantin Genin, ``Performativity and Prospective Fairness''
12:50 - 13:30 Kathleen Creel, ``Don't Use Machine Learning To Evaluate Grants''

13:30 - 15:00 Lunch

15:00 - 15:40 Florian Boge, ``Understanding (and) Machine Learning's Black Box & Explanation Problems in Science''
15:40 - 16:20 Mel Andrews, ``Machine Learning & Science’s Theory-Free Ideal''
16:20 - 17:00 Mario Krenn, ``Towards an Artificial Muse for New Ideas in Physics''

Saturday, December 2

9:00 - 9:40 Eamon Duede, ``Considering the (Social) Epistemology of Mixed Agent Science''
9:45 - 10:30 Mike T. Stuart, ``AI increases Scientific Understanding but does not Understand''
10:20 - 11:00 Atoosa Kasirzadeh, ``On the Performativity of Machine Learning Prediction''

11:00 - 11:30 Coffee break

11:30 - 12:10 Andre Curtis-Trudel, Does the No Miracles Argument Apply to AI?
12:10 - 12:50 Daniel Andler, ``AI in science today and tomorrow?''

12:50 - 13:00 Closing Remarks

Conference Booklet + Abstracts