专利分析
数据科学
计算机科学
知识管理
知识流
技术预测
技术变革
路径(计算)
引用
人工智能
万维网
程序设计语言
作者
Na Liu,Philip Shapira,Xiaoxu Yue,Jiancheng Guan
出处
期刊:PLOS ONE
[Public Library of Science]
日期:2021-12-31
卷期号:16 (12): e0262050-e0262050
被引量:20
标识
DOI:10.1371/journal.pone.0262050
摘要
Artificial intelligence (AI) is emerging as a technology at the center of many political, economic, and societal debates. This paper formulates a new AI patent search strategy and applies this to provide a landscape analysis of AI innovation dynamics and technology evolution. The paper uses patent analyses, network analyses, and source path link count algorithms to examine AI spatial and temporal trends, cooperation features, cross-organization knowledge flow and technological routes. Results indicate a growing yet concentrated, non-collaborative and multi-path development and protection profile for AI patenting, with cross-organization knowledge flows based mainly on interorganizational knowledge citation links.
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