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http://dx.doi.org/10.11627/jksie.2022.45.4.001

Text Based Explainable AI for Monitoring National Innovations  

Jung Sun Lim (KISTI)
Seoung Hun Bae (LXSIRI)
Publication Information
Journal of Korean Society of Industrial and Systems Engineering / v.45, no.4, 2022 , pp. 1-7 More about this Journal
Abstract
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.
Keywords
XAI; Explainable AI; Innovation; Monitoring;
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Times Cited By KSCI : 4  (Citation Analysis)
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