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http://dx.doi.org/10.22693/NIAIP.2022.29.4.043

Analysis of Korea's Artificial Intelligence Competitiveness Based on Patent Data: Focusing on Patent Index and Topic Modeling  

Lee, Hyun-Sang (School of Business Administration, Kyungpook National University)
Qiao, Xin (School of Business Administration, Kyungpook National University)
Shin, Sun-Young (AI Future Strategy Center, National Information Society Agency)
Kim, Gyu-Ri (AI Future Strategy Center, National Information Society Agency)
Oh, Se-Hwan (School of Business Administration, Kyungpook National University)
Publication Information
Informatization Policy / v.29, no.4, 2022 , pp. 43-66 More about this Journal
Abstract
With the development of artificial intelligence technology, competition for artificial intelligence technology patents around the world is intensifying. During the period 2000 ~ 2021, artificial intelligence technology patent applications at the US Patent and Trademark Office have been steadily increasing, and the growth rate has been steeper since the 2010s. As a result of analyzing Korea's artificial intelligence technology competitiveness through patent indices, it is evaluated that patent activity, impact, and marketability are superior in areas such as auditory intelligence and visual intelligence. However, compared to other countries, overall Korea's artificial intelligence technology patents are good in terms of activity and marketability, but somewhat inferior in technological impact. While noise canceling and voice recognition have recently decreased as topics for artificial intelligence, growth is expected in areas such as model learning optimization, smart sensors, and autonomous driving. In the case of Korea, efforts are required as there is a slight lack of patent applications in areas such as fraud detection/security and medical vision learning.
Keywords
artificial intelligence; artificial intelligence technology patent; patent competitiveness; patent index; topic modeling;
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Times Cited By KSCI : 6  (Citation Analysis)
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