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Mapping technological innovation dynamics in artificial intelligence domains: Evidence from a global patent analysis.
Liu, Na; Shapira, Philip; Yue, Xiaoxu; Guan, Jiancheng.
Affiliation
  • Liu N; School of Management, Shandong Technology and Business University, Yantai, China.
  • Shapira P; Manchester Institute of Innovation Research, Alliance Manchester Business School, University of Manchester, Manchester United Kingdom.
  • Yue X; School of Public Policy, Georgia Institute of Technology, Atlanta, Georgia, United States of America.
  • Guan J; School of Public Policy and Management, Tsinghua University, Beijing, China.
PLoS One ; 16(12): e0262050, 2021.
Article in En | MEDLINE | ID: mdl-34972173
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Patents as Topic / Artificial Intelligence Type of study: Risk_factors_studies / Sysrev_observational_studies Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2021 Document type: Article Affiliation country: China Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Patents as Topic / Artificial Intelligence Type of study: Risk_factors_studies / Sysrev_observational_studies Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2021 Document type: Article Affiliation country: China Country of publication: United States