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dc.contributor.authorMcGovern, Amy
dc.date.accessioned2020-10-20T15:53:01Z
dc.date.available2020-10-20T15:53:01Z
dc.date.issued2020-09-25
dc.identifier.urihttp://hdl.handle.net/1853/63794
dc.descriptionPresented online on September 25, 2020 at 2:00 p.m.en_US
dc.descriptionAmy 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.en_US
dc.descriptionRuntime: 58:07 minutesen_US
dc.description.abstractAs 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.en_US
dc.format.extent58:07 minutes
dc.language.isoen_USen_US
dc.relation.ispartofseriesIDEaS-AI Seminar Seriesen_US
dc.subjectSevere weatheren_US
dc.subjectTrustworthy AIen_US
dc.titleBuilding Trustworthy AI for Environmental Scienceen_US
dc.typeLectureen_US
dc.typeVideoen_US
dc.contributor.corporatenameGeorgia Institute of Technology. Institute for Data Engineering and Scienceen_US
dc.contributor.corporatenameUniversity of Oklahoma. School of Computer Scienceen_US
dc.contributor.corporatenameUniversity of Oklahoma. School of Meteorologyen_US


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