人工智能和气候适应性治理
Sara Mehryar1, Vahid Yazdanpanah2, Jeffrey Tong3
1Grantham Research Institute on Climate Change and the Environment, London School of Economics and Political Science, London, UK.
iScience
|May 24, 2024
概括
人工智能 (AI) 可以帮助气候适应,但面临着挑战. 目前的AI专注于风险评估,需要开发来评估复杂和特定环境的弹性,脆弱性和实施.
科学领域:
- 环境科学 环境科学
- 计算机科学 计算机科学
- 公共政策 公共政策
背景情况:
- 人工智能 (AI) 为适应气候变化提供了潜在的解决方案.
- 然而,在这一领域的AI应用面临着重大局限性和挑战.
- 风险治理框架对于理解人工智能的作用至关重要.
研究的目的:
- 分析AI在气候适应决策中的应用和局限性.
- 检查AI在风险评估,政策分析和实施阶段的作用.
- 在气候适应方面确定未来人工智能发展的主要挑战和领域.
主要方法:
- 进行了全面的文献审查.
- 专家的见解被收集和合成.
- 风险治理视角指导了分析.
主要成果:
- 人工智能主要应用于气候风险评估,重点关注危险和暴露.
- 人工智能工具显著缺乏用于评估弹性,脆弱性,优先级和实施的工具.
- 主观,定性和特定环境的因素对当前的人工智能方法构成挑战.
结论:
- 需要进一步开发以解决AI在模拟长期变化和演变人类行为的局限性.
- 提高数据质量,计算资源和AI解释性至关重要.
- 对于全面的气候适应战略,需要创新的AI方法.
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