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

Text (AI and climate resilience governance) - Published Version Available under License Creative Commons Attribution. Download (3MB)

• Author
• Scopus publication

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:	20 Dec 2024 00:53
URI:	http://eprints.lse.ac.uk/id/eprint/122813

Actions (login required)

View Item