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http://dx.doi.org/10.5762/KAIS.2020.21.9.458

An Empirical Study on the Prediction of Future New Defense Technologies in Artificial Intelligence  

Ahn, Jin-Woo (Defense Agency for Technology and Quality)
Noh, Sang-Woo (Defense Agency for Technology and Quality)
Kim, Tae-Hwan (Defense Agency for Technology and Quality)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.21, no.9, 2020 , pp. 458-465 More about this Journal
Abstract
Technological advances in artificial intelligence are affecting many industries, such as telecommunications, logistics, security, and healthcare, and research and development related to economic, efficiency, linkage with commercial technologies are the current focus. Predicting the changes in the future battlefield environment and ways of conducting war from a strategic point of view, as well as designing/planning the direction of military development for a leading response is not only a basic element to prepare for comprehensive future threats but also an indispensable factor that can produce an optimal effect over a limited budget/time. From this perspective, this study was conducted as part of a technology-driven plan to discover potential future technologies with high potential for use in the defense field and apply them to R&D. In this study, based on research data collected in a defense future technology investigation, the future new technology that requires further research was predicted by considering the redundancy with existing defense research projects and the feasibility of technology. In addition, an empirical study was conducted to verify the significance between the future new defense technology and the evaluation indicators in the AI field.
Keywords
Defense Artificial Intelligence; Future New Defense Technology; Technological Forecasting; Future Prediction; Technology Planning; Technology-Driven Plan;
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Times Cited By KSCI : 4  (Citation Analysis)
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