Mehryar Sara, Yazdanpanah Vahid, Tong Jeffrey
Grantham Research Institute on Climate Change and the Environment, London School of Economics and Political Science, London, UK.
Department of Electronics and Computer Science, University of Southampton, Southampton, UK.
iScience. 2024 Apr 26;27(6):109812. doi: 10.1016/j.isci.2024.109812. eCollection 2024 Jun 21.
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 and as well as and 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.
虽然人工智能(AI)为应对气候变化影响提供了有前景的解决方案,但它也带来了许多应用限制和挑战。本文从风险治理的角度分析了人工智能在支持气候适应决策中的作用,涵盖风险评估、政策分析和实施。这一全面综述结合了专家见解和系统的文献综述。研究结果表明,人们非常重视将人工智能应用于气候“风险评估”,特别是在灾害和暴露评估方面,但缺乏评估 以及 过程的创新方法和工具,所有这些都涉及主观、定性和特定背景的因素。此外,该研究指出了一些挑战,如模拟复杂的长期变化、不断演变的政策和人类行为的难度,对数据质量和计算资源的依赖,以及提高结果可解释性的必要性,这些都是需要进一步发展的领域。