Mapping technological innovation dynamics in artificial intelligence domains: Evidence from a global patent analysis (full-text)

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.

Full-Text available at https://doi.org/10.1371/journal.pone.0262050

Author(s): Na Liu, Philip Shapira, Xiaoxu Yue, Jiancheng Guan
Organization(s): Shandong Technology and Business University, University of Manchester, Tsinghua University, University of Chinese Academy of Sciences
Source: PLoS ONE
Year: 2021

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