Although artificial intelligence (AI; inclusive of machine learning) is gaining traction supporting climate change projections and impacts, limited work has used AI to address climate change adaptation. We identify this gap and highlight the value of AI especially in supporting complex adaptation choices and implementation. We illustrate how AI can effectively leverage precise, real-time information in data-scarce settings. We focus on supervised learning, transfer learning, reinforcement learning, and multimodal learning to illustrate how innovative AI methods can enable better-informed choices, tailor adaptation measures to heterogenous groups and generate effective synergies and trade-offs.

中文翻译：

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人工智能适应气候变化

尽管人工智能（AI；包括机器学习）正在获得支持气候变化预测和影响的牵引力，但使用人工智能解决气候变化适应问题的工作有限。我们确定了这一差距并强调了人工智能的价值，特别是在支持复杂的适应选择和实施方面。我们展示了人工智能如何在数据稀缺的环境中有效利用精确的实时信息。我们专注于监督学习、迁移学习、强化学习和多模式学习，以说明创新的人工智能方法如何能够实现更明智的选择、为异质群体量身定制适应措施并产生有效的协同效应和权衡取舍。