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AI and climate resilience governance

Mehryar, Sara ORCID: 0000-0002-5755-0869, Yazdanpanah, Vahid and Tong, Jeffrey (2024) AI and climate resilience governance. iScience, 27 (6). ISSN 2589-0042

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Identification Number: 10.1016/j.isci.2024.109812

Abstract

While artificial intelligence (AI) offers promising solutions to address climate change impacts, it also raises many application limitations and challenges. A risk governance perspective is used to analyze the role of AI in supporting decision-making for climate adaptation, spanning risk assessment, policy analysis, and implementation. This comprehensive review combines expert insights and systematic literature review. The study's findings indicate a large emphasis on applying AI to climate “risk assessments,” particularly regarding hazard and exposure assessment, but a lack of innovative approaches and tools to evaluate resilience and vulnerability as well as prioritization and implementation process, all of which involve subjective, qualitative, and context-specific elements. Additionally, the study points out challenges such as difficulty of simulating complex long-term changes, and evolving policies and human behavior, reliance on data quality and computational resources, and the need for improved interpretability of results as areas requiring further development.

Item Type: Article
Official URL: https://www.cell.com/iscience/home
Additional Information: © 2024 The Author(s)
Divisions: Grantham Research Institute
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
T Technology
Date Deposited: 26 Apr 2024 13:39
Last Modified: 11 Jun 2024 20:45
URI: http://eprints.lse.ac.uk/id/eprint/122813

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