关键词: Earth sciences Environmental policy Environmental science Natural sciences Social sciences

来  源:   DOI:10.1016/j.isci.2024.109812   PDF(Pubmed)

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.
摘要:
虽然人工智能(AI)为应对气候变化影响提供了有希望的解决方案,它也带来了许多应用限制和挑战。风险治理视角用于分析人工智能在支持气候适应决策中的作用,跨越风险评估,政策分析,和执行。本综合综述结合了专家见解和系统文献综述。这项研究的结果表明,人们非常重视将人工智能应用于气候风险评估,“特别是关于危险和暴露评估,但是缺乏评估复原力和脆弱性以及优先次序和实施过程的创新方法和工具,所有这些都涉及主观,定性,和上下文特定的元素。此外,该研究指出了挑战,例如难以模拟复杂的长期变化,不断发展的政策和人类行为,依赖数据质量和计算资源,以及需要改进结果作为需要进一步发展的领域的可解释性。
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