Amy McGovern, Imme Ebert-Uphoff, Elizabeth A. Barnes, Ann Bostrom, Mariana G. Cains, Phillip Davis, Julie L. Demuth, Dimitrios I. Diochnos, Andrew H. Fagg, Philippe Tissot, John K. Williams, Christopher D. Wirz
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引用次数: 0
Abstract
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.
美国国家科学基金会人工智能研究所（NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography, AI2ES）致力于为各种环境和地球科学现象创建可信的人工智能。AI2ES 的成员包括来自人工智能、大气和海洋科学、风险交流和教育领域的顶尖专家，他们协同合作，共同开发和测试可信任的人工智能方法，从而改变我们对环境的理解和预测。信任是一种社会现象，我们将风险交流研究融入到 AI2ES 的各项活动中，为开发用户知情、值得信赖的人工智能奠定了经验基础。AI2ES 还开展了各种活动，以扩大参与范围并促进劳动力发展，这些活动与 AI2ES 在可信人工智能、环境科学和风险交流方面的研究充分结合在一起。
期刊介绍：
AI Magazine publishes original articles that are reasonably self-contained and aimed at a broad spectrum of the AI community. Technical content should be kept to a minimum. In general, the magazine does not publish articles that have been published elsewhere in whole or in part. The magazine welcomes the contribution of articles on the theory and practice of AI as well as general survey articles, tutorial articles on timely topics, conference or symposia or workshop reports, and timely columns on topics of interest to AI scientists.
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