Mehryar, Sara 
ORCID: 0000-0002-5755-0869, Yazdanpanah, Vahid and Tong, Jeffrey
(2024)
AI and climate resilience governance.
iScience.
p. 109812.
ISSN 2589-0042
(In Press)
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 analysis 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 emphasise 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 behaviour, reliance on data quality and computational resources, and the need for improved interpretability of results as areas requiring further development.
| Item Type: | Article |
|---|---|
| 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: | 29 Apr 2024 10:36 |
| URI: | http://eprints.lse.ac.uk/id/eprint/122813 |
Actions (login required)
 |
View Item |
