A Survey of Human-AI Collaboration Systems for Scientific Discovery

PhD Qualifying Examination


Title: "A Survey of Human-AI Collaboration Systems for Scientific Discovery"

by

Mr. Junze LI


Abstract:

Scientific discovery is a complex and iterative process that involves 
formulating hypotheses, testing with experiments, and analyzing the results. 
With the rise of artificial intelligence (AI), especially large language models 
(LLMs), there is a growing interest in how AI techniques aligned with human 
values could be used to enhance each stage of the scientific discovery process. 
In this survey, we investigate the potential of human-AI collaboration systems 
in scientific discovery and explore their benefits and challenges. We will 
review existing literature on AI-assisted research and human insights on using 
collaboration systems in each stage of scientific discovery. Our survey will 
shed light on the feasibility and effectiveness of using human-AI collaboration 
systems to accelerate scientific discovery and provide recommendations for 
future development and implementation. Ultimately, our research aims to 
contribute to the ongoing discussion on how AI can be integrated into 
scientific research to foster innovation and discovery.


Date:                   Friday, 26 April 2024

Time:                   1:30pm - 3:30pm

Venue:                  Room 5501
                        Lifts 25/26

Committee Members:      Dr. Xiaojuan Ma (Supervisor)
                        Dr. Wei Wang (Chairperson)
                        Prof. Bo Li
                        Dr. Yangqiu Song