정보화정책 (Informatization Policy)

한국지능정보사회진흥원 (National Information Society Agency)
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특허데이터 기반 한국의 인공지능 경쟁력 분석 : 특허지표 및 토픽모델링을 중심으로

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)
  • 투고 : 2022.11.02
  • 심사 : 2022.11.24
  • 발행 : 2022.12.31
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초록

인공지능 기술의 발전과 더불어 세계 각국의 인공지능 기술 특허를 둘러싼 경쟁도 치열해지고 있다. 2000년~2021년간 미국 특허청의 인공지능 기술 특허출원은 꾸준히 증가하고 있는 가운데 2010년대 들어 보다 가파른 성장세를 기록하고 있다. 특허지표를 통해 한국의 인공지능 기술경쟁력을 분석한 결과, 청각지능, 시각지능 등의 세부 분야에서 특허활동성, 영향력, 시장성 등이 우위에 있는 것으로 평가된다. 그러나, 주요국과 비교하여 한국의 인공지능 기술 특허는 양적 활동성, 시장성 확보 측면에서는 상대적으로 우수하나 기술 파급력은 다소 열위에 있는 것으로 나타난다. 최근 인공지능 기술 토픽으로 노이즈 캔슬링, 음성인식 등은 감소한 반면 모델학습 최적화, 스마트센서, 자율주행 등이 활성화되면서 성장이 기대되고 있다. 한국의 경우 사기탐지/보안, 의료 비전러닝 등의 분야에서 특허출원 성과가 다소 부족하여 분발이 요구된다.

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.

키워드

과제정보

This journal was supported by the NRF(National Research Foundation of Korea) Grant funded by the MOE(Ministry of Education)(NRF-2022-2022S1A8A1095111)

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