This conference aims to start a conversation around the role of AI in scientific understanding, and whether breakthroughs in the intersection of AI and biology are pushing us to revise our notion of scientific understanding.
30th June 2023
University of Cambridge, UK
While machine learning and artificial intelligence methodologies have seen widespread adoption in modern biology, the scientific rationale for applying these models remains underdeveloped.
Many researchers apply AI as “standard practice”, or simply to add additional complexity to their analysis. However, we feel that the effective use of AI in biology requires careful consideration of the theoretical and philosophical aspects of these models and techniques.
This conference aims to build a community of scholars and thought-leaders from artificial intelligence and machine learning, biology and chemistry, as well as philosophy, in order to address biological discovery from three angles: theoretical, scientific, and philosophical.
This conference is possible through a grant from the Accelerate Program for Scientific Discovery at the Department of Computer Science and Technology, University of Cambridge, as well as the Cambridge Centre for Data-Driven Discovery, and the support of Clare Hall, Cambridge.