산업경영시스템학회지 (Journal of Korean Society of Industrial and Systems Engineering)

  • 제45권4호
  • /
  • Pages.1-7
  • /
  • 2022
  • /
  • 2005-0461(pISSN)
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  • 2287-7975(eISSN)
한국산업경영시스템학회 (Society of Korea Industrial and System Engineering)
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텍스트 기반 Explainable AI를 적용한 국가연구개발혁신 모니터링

Text Based Explainable AI for Monitoring National Innovations

  • 임정선 (한국과학기술정보연구원) ;
  • 배성훈 (한국국토정보공사 공간정보연구원)
  • 투고 : 2022.09.08
  • 심사 : 2022.11.09
  • 발행 : 2022.12.31
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초록

Explainable AI (XAI) is an approach that leverages artificial intelligence to support human decision-making. Recently, governments of several countries including Korea are attempting objective evidence-based analyses of R&D investments with returns by analyzing quantitative data. Over the past decade, governments have invested in relevant researches, allowing government officials to gain insights to help them evaluate past performances and discuss future policy directions. Compared to the size that has not been used yet, the utilization of the text information (accumulated in national DBs) so far is low level. The current study utilizes a text mining strategy for monitoring innovations along with a case study of smart-farms in the Honam region.

키워드

과제정보

This study was supported by research funds of KISTI(Korea Institute of Science and Technology Information) K-22-L05-C02-S07 with K-22-L03-C04-S01.

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