Abstract:Firstly,we use the artificial intelligence (AI)patent data (2010—2020)provided by Derwent Innovations Index.Secondly,AI technology innovation network knowledge map was drawn by the software CiteSpace.Thirdly,AI innovation key path and important nodes were identified.Fourthly,the most potential innovation subjects and important innovation subjects in the field of AI in China are analyzed.The conclusions are as follows.①There are 4 characteristics of evolution in AI key path in 2010—2020.②There are 15 the keynote enterprises/scientific research institutions on AI technology innovation.③The most potential innovation subjects of AI in China include 10 enterprises such as Huawei,and 15 scientific institutes such as Sun Yat-Sen University,Xi'an Jiaotong University,Southeast University and Shenzhen University.④20 AI innovation sectors in China include 10 enterprises such as Tencent,and 10 scientific research institutions such as University of Electronic Science and technology.
[1]张振刚,黄洁明,陈一华.基于专利计量的人工智能技术前沿识别及趋势分析[J].科技管理研究,2018,38 (5):36-42. [2]赵蓉英,李新来,李丹阳.专利引证视角下的核心专利研究——以人工智能领域为例[J].情报理论与实践,2019,42 (3):78-84. [3]陈军,张韵君,王健.基于专利分析的中美人工智能产业发展比较研究[J].情报杂志,2019,38 (1):41-47. [4]王友发,罗建强,周献中.基于专利地图的人工智能研究总体格局、技术热点与未来趋势[J].中国科技论坛,2019 (10):80-89+127. [5]刘鸿宇,苗芳艳,彭拾,等.人工智能伦理研究的知识图谱分析[J].情报杂志,2019,38 (7):85-93. [6]FLORIDI L,SANDERS J W.On the morality of artificial agents[J].Minds & machines,2004,14 (3):349-379. [7]ANDERSON M,ANDERSON S L.Machine ethics:creating an ethical intelligent agent[J].AI magazine,2007,28 (4):15-26. [8]中国专利保护协会.人工智能技术专利深度分析报告[R].2018. [9]张振刚,黄洁明,陈一华.基于专利计量的人工智能技术前沿识别及趋势分析[J].科技管理研究,2018,38 (5):36-42. [10]陈悦,陈超美,刘则渊,等.Citespace 知识图谱的方法论功能[J].科学学研究,2015,33 (2):42-253. [11]陈悦,陈超美,胡志刚,等.引文空间分析原理与应用[M].北京:科学出版社,2014. [12]WHITE H D.Pathfinder networks and author co-citation analysis:are mapping of paradigmatic information scientists[J].Journal of the America society for information science and technology,2003,54 (5):423-434. [13]RAND.Maintaining the competitive advantage in artificial intelligence and machine learning[R].2020. [14]清华大学,中国人工智能学会.2019人工智能发展报告[R].2019. [15]丘成桐.疫情带来机遇,引进海外人才3条建议[R].2020. [16]聂洪光,范海荣.基于专利数据的中美人工智能创新能力比较研究[J].中国科技论坛,2020 (5):154-162.