The Journal of Intellectual Property (J Intellect Property; JIP)

KCI Indexed
OPEN ACCESS, PEER REVIEWED

pISSN 1975-5945
eISSN 2733-8487
Original Article

Analysis of AI-Research Trends on Intellectual Property

1Ph.D. Candidate, Dept. of Intellectual Property Convergence, Chungnam National University, Republic of Korea
2Professor, Dept. of Electric, Electronic & Communication Engineering Education, College of Education, Chungnam National University, Republic of Korea

Correspondence to Taehoon Kim, E-mail: kth0423@cnu.ac.kr

Volume 19, Number 4, Pages 153-181, December 2024.
The Journal of Intellectual Property 2024;19(4):153-181. https://doi.org/10.34122/jip.2024.19.4.7
Received on August 20, 2024, Revised on October 04, 2024, Accepted on December 05, 2024, Published on December 30, 2024.
Copyright © 2024 Korea Institute of Intellectual Property.
This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.

Abstract

With the progress in artificial intelligence (AI), considerable efforts are being made to improve intellectual property policies. AI is a core technology of the Fourth Industrial Revolution, and patent applications and research papers are increasingly published in various industrial fields. This study aimed to systematically understand the trend in intellectual property research related to AI in Korea by quantitatively analyzing domestic academic papers published by the Research Information Sharing Service (RISS). The findings will enable researchers, policymakers, and legal experts to contribute to future policy establishment and academic development.

The results were as follows: First, the number of papers on intellectual property related to artificial intelligence has increased rapidly since 2017, recording the highest number of 127 articles in 2023. Second, the TF-IDF analysis of major keywords revealed that “copyrights” and “artificial intelligence” were the most important keywords. Third, among ten major topics, “work and copyright protection,” “patent and algorithm,” and “artificial intelligence and invention” had a high proportion. Finally, the topic trend analysis confirmed that AI-related research reached the highest point in various fields in 2023.

Keywords

Artificial Intelligence, Intellectual Property, Research Trend, Text Mining, Topic Modeling, Topic Trends

Notes

Conflicts of Interest

The authors declared no conflicts of interest.

Funding

The author received manuscript fees for this article from Korea Institute of Intellectual Property.

Section