Trends and priority shifts in artificial intelligence technology invention: A global patent analysis

Hidemichi Fujii and Shunsuke Managi

Economic Analysis and Policy, 2018, vol. 58, issue C, 60-69

Abstract: This study is the first to apply a decomposition framework to clarify the determinants of AI technology invention. Consisting of 13,567 AI technology patents for the 2000–2016 period, our worldwide dataset includes patent publication data from the U.S., Japan, China, Europe, and the Patent Cooperation Treaty (PCT). We find that priority has shifted from biological and knowledge-based models to specific mathematical models and other AI technologies, particularly in the U.S. and Japan. Our technology type and country comparison shows that the characteristics of AI technology patent publication differ among companies and countries.

Keywords: Artificial intelligence; Patent decomposition analysis; Research and development strategy; Biological model; Knowledge-based modeling (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (50)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0313592617302539
Full text for ScienceDirect subscribers only

Related works:
Working Paper: Trends and Priority Shifts in Artificial Intelligence Technology Invention: A global patent analysis (2017)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ecanpo:v:58:y:2018:i:c:p:60-69

DOI: 10.1016/j.eap.2017.12.006

Access Statistics for this article

Economic Analysis and Policy is currently edited by Clevo Wilson

More articles in Economic Analysis and Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().