• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/
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A Study on Improving the Reliability of AI Platforms for Multimodal Battlefield Situational Awareness


Jongcheon Choi, Sangwoo Park, Bumshik Park, Seungho Baek, Journal of Internet Computing and Services, Vol. 27, No. 1, pp. 189-200, Feb. 2026
10.7472/jksii.2026.27.1.189, Full Text:  HTML
Keywords: AI Platform, Artificial intelligence, Multi Modal, System Reliability, Security

Abstract

While development methodologies for applying AI technology are similar to general software development methodologies, they differ significantly in that they rely on large-scale infrastructure for development. Therefore, this paper examines the security considerations for operating AI platforms in a multimodal source-based battlefield situational awareness environment when applying AI technology to the defense sector, both in terms of AI service development and operation. Given the current lack of separate verification methods for AI technology, the application of a verifiable toolkit, similar to the RAI toolkit being introduced by the US Department of Defense, to the AI ​​platforms operated by the Korean military is crucial. Therefore, this paper examines tools applicable to AI platforms in the defense sector, focusing on multimodal generative AI technology used for battlefield situational awareness. This paper examines the three key risk factors for reliability when utilizing multimodal generative AI technology for battlefield situational awareness, the most actively adopted AI technology in the defense sector: operation, development, and service. This paper then proposes applicable toolkits and methodologies tailored to each situation. AI technology operates as a system involving a complex interconnection of numerous technological elements, and verification is more challenging than other information systems. Therefore, the application of reliable verification tools is particularly crucial in the defense sector, which demands highly reliable systems. This study emphasizes the need for a systematic toolkit to minimize potential risks arising from the application of AI technology based on AI platforms from a risk management perspective. It also explains that this toolkit should be prioritized as a minimum safeguard when applying AI technology in the defense sector.


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Cite this article
[APA Style]
Choi, J., Park, S., Park, B., & Baek, S. (2026). A Study on Improving the Reliability of AI Platforms for Multimodal Battlefield Situational Awareness. Journal of Internet Computing and Services, 27(1), 189-200. DOI: 10.7472/jksii.2026.27.1.189.

[IEEE Style]
J. Choi, S. Park, B. Park, S. Baek, "A Study on Improving the Reliability of AI Platforms for Multimodal Battlefield Situational Awareness," Journal of Internet Computing and Services, vol. 27, no. 1, pp. 189-200, 2026. DOI: 10.7472/jksii.2026.27.1.189.

[ACM Style]
Jongcheon Choi, Sangwoo Park, Bumshik Park, and Seungho Baek. 2026. A Study on Improving the Reliability of AI Platforms for Multimodal Battlefield Situational Awareness. Journal of Internet Computing and Services, 27, 1, (2026), 189-200. DOI: 10.7472/jksii.2026.27.1.189.