Building Trustworthy AI for Environmental Science   [video]

Abstract:  
As climate change affects weather patterns and sea levels rise, the world’s need for accurate, usable predictions of weather and ocean and their impacts has never been greater. At the same time, the quantity and quality of Earth observation and modeling systems are increasing dramatically, offering a deluge of data so rich that only automated intelligent systems can fully exploit it.  In this talk, I will introduce our new NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography and discuss our approach to developing trustworthy AI methods for environmental science.  I will also present preliminary results for creating trustworthy AI for two high-impact weather prediction tasks: Hail and tornado prediction.

Bio: 
Amy McGovern is a Lloyd G. and Joyce Austin Presidential Professor in the School of Computer Science and the School of Meteorology at the University of Oklahoma. She has been leading the development of AI/ML for weather applications for 15 years and is now directing the NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography.