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AI and climate resilience governance

AI and climate resilience governance
AI and climate resilience governance

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.

AI, AI for Sustainability, AI for social good, Artifical Intelligence, Climate Resilience, Compound Risks, Resilience Governance, Environmental science, Natural sciences, Environmental policy, Social sciences, Earth sciences
2589-0042
Mehryar, Sara
2480e477-ae6c-4ce1-a518-98f02e48ce39
Yazdanpanah, Vahid
28f82058-5e51-4f56-be14-191ab5767d56
Tong, Jeffrey
e408e0d2-047e-4534-81f9-fa5395360984
Mehryar, Sara
2480e477-ae6c-4ce1-a518-98f02e48ce39
Yazdanpanah, Vahid
28f82058-5e51-4f56-be14-191ab5767d56
Tong, Jeffrey
e408e0d2-047e-4534-81f9-fa5395360984

Mehryar, Sara, Yazdanpanah, Vahid and Tong, Jeffrey (2024) AI and climate resilience governance. iScience, 27 (6), [109812]. (doi:10.1016/j.isci.2024.109812).

Record type: Review

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.

Text
AI and Climate Resilience Governance - 2024 - iScience - Open Access - Accepted Manuscript
Available under License Creative Commons Attribution.
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More information

Accepted/In Press date: 24 April 2024
e-pub ahead of print date: 26 April 2024
Published date: 21 June 2024
Additional Information: © 2024 The Author(s).
Keywords: AI, AI for Sustainability, AI for social good, Artifical Intelligence, Climate Resilience, Compound Risks, Resilience Governance, Environmental science, Natural sciences, Environmental policy, Social sciences, Earth sciences

Identifiers

Local EPrints ID: 489507
URI: http://eprints.soton.ac.uk/id/eprint/489507
ISSN: 2589-0042
PURE UUID: ee876590-2ab4-4773-9613-b1eb81385bf5
ORCID for Vahid Yazdanpanah: ORCID iD orcid.org/0000-0002-4468-6193

Catalogue record

Date deposited: 25 Apr 2024 16:37
Last modified: 08 Jun 2024 02:01

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Contributors

Author: Sara Mehryar
Author: Vahid Yazdanpanah ORCID iD
Author: Jeffrey Tong

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