Following the explosion of tools like Chat GPT, the use of artificial intelligence seems to be everywhere. But what exactly does it mean for the world of scientific discovery? This presentation aims to unravel the complexity surrounding AI’s role in scientific processes, shedding light on how algorithms and machine learning have become critical tools for researchers.

Presenters will share real-world examples showcasing AI’s integration with traditional scientific methods and highlight the critical leadership role Argonne is playing in framing ethical use. By explaining the technical aspects, ethical considerations, and practical applications, this presentation will demystify the relationship between AI and science, fostering a deeper understanding of the innovative landscape that lies ahead for scientific discovery.

Featured Speakers

Ian Foster, Introductory Remarks
Director of Data Science and Learning Division

Sean Jones, Moderator
Deputy Laboratory Director for Science & Technology 

Arvind Ramanathan, Panelist 
Computational Biologist

Mathew Cherukara, Panelist  
Computational Scientist

Casey Stone, Panelist  
Computational Scientist