텍스트 기반 Explainable AI를 적용한 국가연구개발혁신 모니터링
Text Based Explainable AI for Monitoring National Innovations
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초록
Explainable AI (XAI) is an approach that leverages artificial intelligence to support human decision-making. Recently, govern- ments 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.
Abstract
Explainable AI (XAI) is an approach that leverages artificial intelligence to support human decision-making. Recently, govern- ments 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.
참고문헌 (33)
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