AOSC Seminar by Dr. Amy McGovern, 9/22/2022
AOSC/ESSIC Seminar
Dr. Amy McGovern
Title: Developing Trustworthy AI for Weather and Climate
Abstract:
As our climate is changing, the need to improve our understanding and prediction of a wide variety of high-impact weather phenomena has become increasingly urgent. The use of artificial intelligence (AI) and machine learning (ML) have grown rapidly for both weather and climate applications in the research community, but the uptake of AI/ML methods for operational use has been limited. The NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES) was formed in 2020 to create trustworthy AI for a variety of weather, climate, and coastal oceanography applications. In this talk, I give an overview of the convergent research we are doing in AI2ES to understand the nature of trust in AI and to create trustworthy AI. AI2ES is advancing AI/ML techniques in physics-based AI, explainable AI (XAI) and robust AI. We are developing guidelines to ensure that our AI is developed and deployed in an ethical and responsible manner. I will give deeper examples from work within my research group on autonomous detection of frontal boundaries and convective hazards and will discuss the concept of trust in AI from its foundations to how we have worked with operational forecasters to enhance trustworthy AI within meteorology. Finally, I will propose the development of a joint center for AI for weather and climate, whose goals are to work across agencies to develop foundational new AI/ML methods and apply them operationally to improve our resiliency to climate change and its related high-impact weather.
Bio:
Dr Amy McGovern is a Lloyd G. and Joyce Austin Presidential Professor in the School of Computer Science and School of Meteorology at the University of Oklahoma. She is also the director and principal investigator for the NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography, also known as AI2ES. Dr McGovern is a fellow of the AMS and the chief editor for AMS’s new journal focusing on Artificial Intelligence and Machine Learning for the Earth Sciences, AIES. This journal started in October 2021 and has already published ground-breaking research in AI/ML for all of the AMS sciences. Dr McGovern received her Ph.D. in Computer Science from the University of Massachusetts Amherst in 2002, her MS in Computer Science in 1998 also at the University of Massachusetts Amherst and her B.S. (Honors) in Math and Computer Science with a minor in Spanish in 1996 from Carnegie Mellon University.
Contact: Sumant Nigam
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AOSC Seminar
Pre-seminar refreshment: N/A
Seminar: 4:00-5:00pm, Room: ATL 2400(only when in-person)
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