Mapping technological innovation dynamics in artificial intelligence domains: Evidence from a global patent analysis

Na Liu; Philip Shapira; Xiaoxu Yue; Jiancheng Guan

doi:10.1371/journal.pone.0262050

Mapping technological innovation dynamics in artificial intelligence domains: Evidence from a global patent analysis

Na Liu, Philip Shapira, Xiaoxu Yue, Jiancheng Guan

IMP Innovation, Strategy and Sustainability

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Article number	e0262050
Journal	PLoS ONE
Volume	16
Issue number	12
DOIs	https://doi.org/10.1371/journal.pone.0262050
Publication status	Published - 31 Dec 2021

Keywords

Algorithms
Artificial Intelligence
Automation/methods
Diffusion of Innovation
Humans
Intellectual Property
Inventions
Models, Organizational
Models, Statistical
Patents as Topic
Technology/methods

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10.1371/journal.pone.0262050Licence: CC BY

1 Finished

Manchester Synthetic Biology Research Centre for Fine and Speciality Chemicals
Scrutton, N. (PI), Azapagic, A. (CoI), Balmer, A. (CoI), Barran, P. (CoI), Breitling, R. (CoI), Delneri, D. (CoI), Dixon, N. (CoI), Faulon, J.-L. (CoI), Flitsch, S. (CoI), Goble, C. (CoI), Goodacre, R. (CoI), Hay, S. (CoI), Kell, D. (CoI), Leys, D. (CoI), Lloyd, J. (CoI), Lockyer, N. (CoI), Martin, P. (CoI), Micklefield, J. (CoI), Munro, A. (CoI), Pedrosa Mendes, P. (CoI), Randles, S. (CoI), Salehi Yazdi, F. (CoI), Shapira, P. (CoI), Takano, E. (CoI), Turner, N. (CoI) & Winterburn, J. (CoI)
14/11/14 → 13/05/20
Project: Research

1 Article

Tracking developments in artificial intelligence research: Constructing and applying a new search strategy
Liu, N., Shapira, P. & Yue, X., Apr 2021, In: Scientometrics. 126, 4, p. 3153-3192 40 p.
Research output: Contribution to journal › Article › peer-review

Open Access

Cite this

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title = "Mapping technological innovation dynamics in artificial intelligence domains: Evidence from a global patent analysis",

abstract = "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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KW - Models, Statistical

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Mapping technological innovation dynamics in artificial intelligence domains: Evidence from a global patent analysis

Abstract

Keywords

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Projects

Manchester Synthetic Biology Research Centre for Fine and Speciality Chemicals

Research output

Tracking developments in artificial intelligence research: Constructing and applying a new search strategy

Cite this