Climate change and artificial intelligence: assessing the global research landscape

被引:0
作者
Lewis, Joanna I. [1 ]
Toney, Autumn [2 ,3 ]
Shi, Xinglan [4 ]
机构
[1] Science, Technology and International Affairs Program, Edmund A. Walsh School of Foreign Service, Georgetown University, Washington, DC
[2] Center for Security and Emerging Technology, Edmund A. Walsh School of Foreign Service, Georgetown University, Washington, DC
[3] Department of Computer Science, Georgetown University, Washington, DC
[4] Communications, Culture and Technology Program, Georgetown University, Washington, DC
来源
Discover Artificial Intelligence | 2024年 / 4卷 / 01期
关键词
AI; AI tasks and methods; China; Climate change; Publication analysis;
D O I
10.1007/s44163-024-00170-z
中图分类号
学科分类号
摘要
Artificial Intelligence (AI) could revolutionize our ability to understand and address climate change. Studies to date have focused on specific AI applications to climate science, technologies, and policy. Yet despite the vast demonstrated potential for AI to change the way in which climate research is conducted, no study has presented a systematic and comprehensive understanding of the way in which AI is intersecting with climate research around the world. Using a novel merged corpus of scholarly literature which contains millions of unique scholarly documents in multiple languages, we review the community of knowledge at the intersection of climate change and AI to understand how AI methods are being applied to climate-related research and which countries are leading in this area. We find that Chinese research institutions lead the world in publishing and funding research at the intersection of climate and AI, followed by the United States. In mapping the specific AI tasks or methods being applied to specific climate research fields, we highlight gaps and identify opportunities to expand the use of AI in climate research. This paper can therefore greatly improve our understanding of both the current use and the potential use of AI for climate research. © The Author(s) 2024.
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