AI2ES: The NSF AI Institute for Research on Trustworthy AI for Weather, Climate, and Coastal Oceanography

被引：0

作者：

McGovern, Amy ^{[1
,2
]}

Ebert-Uphoff, Imme ^{[3
]}

Barnes, Elizabeth A. ^{[4
]}

Bostrom, Ann ^{[5
]}

Cains, Mariana G. ^{[6
]}

Davis, Phillip ^{[7
]}

Demuth, Julie L. ^{[6
]}

Diochnos, Dimitrios I. ^{[2
]}

Fagg, Andrew H. ^{[2
]}

Tissot, Philippe ^{[8
]}

Williams, John K. ^{[9
]}

Wirz, Christopher D. ^{[6
]}

机构：

[1] Univ Oklahoma, Sch Meteorol, Norman, OK 73019 USA

[2] Univ Oklahoma, Sch Comp Sci, Norman, OK USA

[3] Colorado State Univ, Elect & Comp Engn & Cooperat Inst Res Atmosphere, Ft Collins, CO USA

[4] Colorado State Univ, Dept Atmospher Sci, Ft Collins, CO USA

[5] Univ Washington, Evans Sch Publ Policy & Governance, Seattle, WA USA

[6] Natl Ctr Atmospher Res, Boulder, CO USA

[7] Del Mar Coll, Corpus Christi, TX USA

[8] Texas A&M Univ, Conrad Blucher Inst, Corpus Christi, TX USA

[9] IBM Business, Weather Co, Armonk, NY USA

来源：

AI MAGAZINE | 2024年 / 45卷 / 01期

基金：

美国国家科学基金会;

关键词：

Earth; (planet);

D O I：

10.1002/aaai.12160

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES) focuses on creating trustworthy AI for a variety of environmental and Earth science phenomena. AI2ES includes leading experts from AI, atmospheric and ocean science, risk communication, and education, who work synergistically to develop and test trustworthy AI methods that transform our understanding and prediction of the environment. Trust is a social phenomenon, and our integration of risk communication research across AI2ES activities provides an empirical foundation for developing user-informed, trustworthy AI. AI2ES also features activities to broaden participation and for workforce development that are fully integrated with AI2ES research on trustworthy AI, environmental science, and risk communication.

引用

页码：105 / 110

页数：6

共 41 条

[1] NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES)
McGovern, Amy
Bostrom, Ann
Davis, Phillip
Demuth, Julie L. L.
Ebert-Uphoff, Imme
He, Ruoying
Hickey, Jason
Gagne II, David John
Snook, Nathan
Stewart, Jebb Q. Q.
Thorncroft, Christopher
Tissot, Philippe
Williams, John K. K.
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2022, 103 (07) : E1658 - E1668
[2] Developing AI for Weather Prediction: Ethics of Design and Anxieties about Automation at the US Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography
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[4] The value of convergence research for developing trustworthy AI for weather, climate, and ocean hazards
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Christopher D. Wirz
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