Cargando…

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

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 a...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Na, Shapira, Philip, Yue, Xiaoxu, Guan, Jiancheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719762/
https://www.ncbi.nlm.nih.gov/pubmed/34972173
http://dx.doi.org/10.1371/journal.pone.0262050
_version_ 1784625007714893824
author Liu, Na
Shapira, Philip
Yue, Xiaoxu
Guan, Jiancheng
author_facet Liu, Na
Shapira, Philip
Yue, Xiaoxu
Guan, Jiancheng
author_sort Liu, Na
collection PubMed
description 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.
format Online
Article
Text
id pubmed-8719762
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-87197622022-01-01 Mapping technological innovation dynamics in artificial intelligence domains: Evidence from a global patent analysis Liu, Na Shapira, Philip Yue, Xiaoxu Guan, Jiancheng PLoS One Research Article 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. Public Library of Science 2021-12-31 /pmc/articles/PMC8719762/ /pubmed/34972173 http://dx.doi.org/10.1371/journal.pone.0262050 Text en © 2021 Liu et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Liu, Na
Shapira, Philip
Yue, Xiaoxu
Guan, Jiancheng
Mapping technological innovation dynamics in artificial intelligence domains: Evidence from a global patent analysis
title Mapping technological innovation dynamics in artificial intelligence domains: Evidence from a global patent analysis
title_full Mapping technological innovation dynamics in artificial intelligence domains: Evidence from a global patent analysis
title_fullStr Mapping technological innovation dynamics in artificial intelligence domains: Evidence from a global patent analysis
title_full_unstemmed Mapping technological innovation dynamics in artificial intelligence domains: Evidence from a global patent analysis
title_short Mapping technological innovation dynamics in artificial intelligence domains: Evidence from a global patent analysis
title_sort mapping technological innovation dynamics in artificial intelligence domains: evidence from a global patent analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719762/
https://www.ncbi.nlm.nih.gov/pubmed/34972173
http://dx.doi.org/10.1371/journal.pone.0262050
work_keys_str_mv AT liuna mappingtechnologicalinnovationdynamicsinartificialintelligencedomainsevidencefromaglobalpatentanalysis
AT shapiraphilip mappingtechnologicalinnovationdynamicsinartificialintelligencedomainsevidencefromaglobalpatentanalysis
AT yuexiaoxu mappingtechnologicalinnovationdynamicsinartificialintelligencedomainsevidencefromaglobalpatentanalysis
AT guanjiancheng mappingtechnologicalinnovationdynamicsinartificialintelligencedomainsevidencefromaglobalpatentanalysis