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- Title
Artificial intelligence for climate change adaptation.
- Authors
Cheong, So‐Min; Sankaran, Kris; Bastani, Hamsa
- Abstract
Although artificial intelligence (AI; inclusive of machine learning) is gaining traction supporting climate change projections and impacts, limited work has used AI to address climate change adaptation. We identify this gap and highlight the value of AI especially in supporting complex adaptation choices and implementation. We illustrate how AI can effectively leverage precise, real‐time information in data‐scarce settings. We focus on supervised learning, transfer learning, reinforcement learning, and multimodal learning to illustrate how innovative AI methods can enable better‐informed choices, tailor adaptation measures to heterogenous groups and generate effective synergies and trade‐offs. This article is categorized under:Application Areas > Government and Public Sector
- Subjects
ARTIFICIAL intelligence; CLIMATE change; SUPERVISED learning; REINFORCEMENT learning; PUBLIC sector; MULTIMODAL user interfaces
- Publication
WIREs: Data Mining & Knowledge Discovery, 2022, Vol 12, Issue 5, p1
- ISSN
1942-4787
- Publication type
Article
- DOI
10.1002/widm.1459