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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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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 |
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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 |
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