瑞典查尔姆斯理工大学Verendel, Vilhelm近日取得一项新成果，证明利用专利数据可以追踪气候发明领域中的人工智能。相关论文于2023年1月12日发表在《自然—气候变化》杂志上。

研究提出了一种在经济范围内跟踪人工智能和气候发明之间关系的方法。从1976年至2019年中，对600多万项美国专利的分析表明，在气候专利中，人工智能最常被用于交通、能源和工业生产技术。被高度引用的专利中，人工智能在适应和运输方面出现的频率高于其他气候缓解领域。当计算所有技术时，气候专利中的人工智能与大约30-100%的后续发明相关。然而，人工智能气候专利比非人工智能气候专利获得了更多来自气候领域以外的引用。这表明了跟踪增加的发明活动和后续发明出现的领域的重要性。

据悉，人工智能(AI)正在许多技术领域迅速传播，人工智能发明可能有助于减缓和适应气候变化。前人对气候相关的人工智能的研究主要依赖于专家的文献调研，而不是大规模的数据。

附：英文原文

Title: Tracking artificial intelligence in climate inventions with patent data

Author: Verendel, Vilhelm

Issue&Volume: 2023-01-12

Abstract: Artificial intelligence (AI) is spreading rapidly in many technology areas, and AI inventions may help climate change mitigation and adaptation. Previous studies of climate-related AI mainly rely on expert studies of literature, not large-scale data. Here I present an approach to track the relation between AI and climate inventions on an economy-wide scale. Analysis of over 6 million US patents, 1976 to 2019, shows that within climate patents, AI is referred to most often in transportation, energy and industrial production technologies. In highly cited patents, AI occurs more frequently in adaptation and transport than in other climate mitigation areas. AI in climate patents was associated with around 30–100% more subsequent inventions when counting all technologies. Yet AI-climate patents led to a greater share of citations from outside the climate field than non-AI-climate patents. This suggests the importance of tracking both increased invention activity and the areas where subsequent inventions emerge.

DOI: 10.1038/s41558-022-01536-w

Source: https://www.nature.com/articles/s41558-022-01536-w