• Title/Summary/Keyword: Military intelligence

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Senior Level Leadership of the Knowledge-Intelligence-Science Military (지식.정보.과학군대의 고급대제 리더십)

  • Jo, Yeong-Gap
    • Journal of National Security and Military Science
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    • s.4
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    • pp.1-44
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    • 2006
  • Today, the times of knowledge-intelligence made changes of the ordinary life of citizens society, and also changed greatly the circumstance of leadership in the military. The times of knowledge-intelligence changed the circumstances of national security and the features of warfares, and also make affecting decisively to senses and style of new who were servicing in the military. In order to response effectively against the changes of those leadership circumstances, senior level leadership should be understand in depth human psychology and battlefield circumstances in the dimension of policies and strategies, and should be executed their leadership. In this thesis, I reviewed the concept and vision of senior level leadership theories and cases about traits and roles In addition, I suggested development options for senior level leadership such as (1) high charactenstics and professionalism, (2)educational center of military for advanced democratic citizen and leadership, (3)execution of leadership in psychological leadership, (4)development of leadership needed in the battlefield Finally, the current military senior level leadership should be changed from one-side and authority style to the change-orientated style, which could believe and participate by themselves.

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Automated Course of Action Evaluation for Military Decision-Making (지휘결심을 위한 자동 방책 평가)

  • Geewon Suh;Hyungkeun Yi;Minhyuk Kim;Byungjoo Kim;Moonhyun Lee;Jaewoo Baek;Changho Suh
    • Journal of the Korea Institute of Military Science and Technology
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    • v.27 no.4
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    • pp.437-445
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    • 2024
  • In future complex and diverse battlefield situations, the existing command system faces the challenge of delayed human judgement of strategy and low objectivity. This paper proposes an artificial intelligence model that takes situation information and course of action simulation results as input and automatically assigns scores to various evaluation elements and a comprehensive score. This tool is expected to assist the commander in making decisions, reduce the time required for making judgments, and promote impartial decision-making.

Efficiency Analysis of Integrated Defense System Using Artificial Intelligence (인공지능을 활용한 통합방위체계의 효율성 분석)

  • Yoo Byung Duk;Shin Jin
    • Convergence Security Journal
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    • v.23 no.1
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    • pp.147-159
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    • 2023
  • Recently, Chat GPT artificial intelligence (AI) is of keen interest to all governments, companies, and military sectors around the world. In the existing era of literacy AI, it has entered an era in which communication with humans is possible with generative AI that creates words, writings, and pictures. Due to the complexity of the current laws and ordinances issued during the recent national crisis in Korea and the ambiguity of the timing of application of laws and ordinances, the golden time of situational measures was often missed. For these reasons, it was not able to respond properly to every major disaster and military conflict with North Korea. Therefore, the purpose of this study was to revise the National Crisis Management Basic Act, which can act as a national tower in the event of a national crisis, and to promote artificial intelligence governance by linking artificial intelligence technology with the civil, government, military, and police.

A Study of Artificial Intelligence Learning Model to Support Military Decision Making: Focused on the Wargame Model (전술제대 결심수립 지원 인공지능 학습방법론 연구: 워게임 모델을 중심으로)

  • Kim, Jun-Sung;Kim, Young-Soo;Park, Sang-Chul
    • Journal of the Korea Society for Simulation
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    • v.30 no.3
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    • pp.1-9
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    • 2021
  • Commander and staffs on the battlefield are aware of the situation and, based on the results, they perform military activities through their military decisions. Recently, with the development of information technology, the demand for artificial intelligence to support military decisions has increased. It is essential to identify, collect, and pre-process the data set for reinforcement learning to utilize artificial intelligence. However, data on enemies lacking in terms of accuracy, timeliness, and abundance is not suitable for use as AI learning data, so a training model is needed to collect AI learning data. In this paper, a methodology for learning artificial intelligence was presented using the constructive wargame model exercise data. First, the role and scope of artificial intelligence to support the commander and staff in the military decision-making process were specified, and to train artificial intelligence according to the role, learning data was identified in the Chang-Jo 21 model exercise data and the learning results were simulated. The simulation data set was created as imaginary sample data, and the doctrine of ROK Army, which is restricted to disclosure, was utilized with US Army's doctrine that can be collected on the Internet.

Analysis and implications on Ukrainian Military Intelligence Team's Decapitation Operation (우크라이나 군사정보팀의(Military Intelligence Team) 핀셋작전 분석과 시사점)

  • Cho, Sang Keun;Zhytko, Andrii;Park, Sung Jun;Kwon, Bum June;Seo, Kanh ll;Park, Sang-Hyuk
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.435-439
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    • 2022
  • ROK has a lot to benchmark from how Ukraine is fighting Russia back with its tactical wins. They have taken a targeted strategy to strike Russia's top generals with high precision. To carry out this strategy, Ukraine is operating a Special Operations Force, which utilizes US/NATO forces, civilian and own resources for maximum impact. Of note, they utilize Starlink for seamless connection from detection, decision-making to strike to maximize operational efficiency. As ROK faces security threat of weapons of mass destruction, Ukraine's military intelligence organization set-up, weapons system and operations can provide some guidance on how to leverage its various SOF as well.

A Study on Intelligent Combat Robot Systems for Future Warfare

  • Sung-Kwon Kim;Sang-Hyuk Park
    • International Journal of Advanced Culture Technology
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    • v.11 no.1
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    • pp.165-170
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    • 2023
  • This study focuses on the development of intelligent combat robot systems for future warfare. The research is structured as follows: First, the introduction presents the rationale for researching intelligent combat robots and their potential to become game changers in future warfare. Second, in the context of the intelligent robot paradigm, this study proposes the need for military organizations to innovate their combat concepts and weapon systems through the effective utilization of Artificial Intelligence, Cognitive, Biometric, and Mechanical technologies. This forms the theoretical background of the study. Third, the analysis of intelligent robot systems considers five examples: humanoid robots, jumping robots, wheeled and quadrupedal pack robots, and tank robots. Finally, the discussion and conclusion propose that intelligent combat robots should be selected as game changers in military organizations for future warfare, and suggest further research in this area.

Conceptual Design of the Artificial Intelligence based Tactical Command Decision Support System using the Functional Analysis Method (기능분석법을 이용한 인공지능 기반 전술제대 지휘결심지원체계의 개념설계)

  • Choi, Keun Ha
    • Journal of the Korea Institute of Military Science and Technology
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    • v.23 no.6
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    • pp.650-658
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    • 2020
  • The research of the AI-based command decision support system was insufficient both quantitatively and qualitatively. In particular, in Korea, there was no research on concrete concept design at the current concept research level. This paper proposed the conceptual design of a tactical echelon command decision support system based on artificial intelligence(AI) according to the current army's doctrine of the operation process. The suggested conceptual design clarified the problem and proposed an appropriate process for design, and applied the function analysis method among rational techniques that enable conceptual design systematically.

A Study on AI-Enabled Combat Cases of Ukrainian Armed Forces in the RMA (Revolution in Military Affairs) Aspect (군사혁신(RMA) 측면에서 바라본 우크라이나군의 지능화 전투사례 연구)

  • Sang Keun Cho;Andrii Zhytko;Ki Won Kim;In Keun Son;Sang Hyuk Park
    • The Journal of Korea Robotics Society
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    • v.18 no.3
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    • pp.308-315
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    • 2023
  • Russia invaded Ukraine in February 2022. Many military experts predicted that Russia could defeat Ukraine within a week, but the Ukraine-Russia War has not been going as expected. Indeed, Ukraine military has been defending well and seems to fight more efficiently than Russian military. There are many reasons for this unexpected situation and one apparent thing is due to artificial intelligence (AI) technologies. This study focused on AI-enabled combats that the Armed Forces of Ukraine has carried out around Siverskyi Donets River, the Crimean Peninsula, and suburbs of Kyiv. For more systematic analysis, the revolution in military affairs (RMA) theory was applied. There are four significant implications inferred by studying current Ukraine-Russia War. First, AI technologies are effective even in the current status and seems to be more influential. Second, hyper-connected network by satellite communications must be needed to enhance the AI weapon effects. Third, military AI technologies should be based on the civil-military cooperation to keep up with pace of technological innovation. Fourth, AI ethics in military should be seriously considered and established in the use of AI technologies. We expect that this study could help ROK Armed Forces to be modernized in the revolutionary fashion, especially for manned and unmanned teaming (MUM-T) system.

Application Strategies of Superintelligent AI in the Defense Sector: Emphasizing the Exploration of New Domains and Centralizing Combat Scenario Modeling (초거대 인공지능의 국방 분야 적용방안: 새로운 영역 발굴 및 전투시나리오 모델링을 중심으로)

  • PARK GUNWOO
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.3
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    • pp.19-24
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    • 2024
  • The future military combat environment is rapidly expanding the role and importance of artificial intelligence (AI) in defense, aligning with the current trends of declining military populations and evolving dynamics. Particularly, in the civilian sector, AI development has surged into new domains based on foundation models, such as OpenAI's Chat-GPT, categorized as Super-Giant AI or Hyperscale AI. The U.S. Department of Defense has organized Task Force Lima under the Chief Digital and AI Office (CDAO) to conduct research on the application of Large Language Models (LLM) and generative AI. Advanced military nations like China and Israel are also actively researching the integration of Super-Giant AI into their military capabilities. Consequently, there is a growing need for research within our military regarding the potential applications and fields of application for Super-Giant AI in weapon systems. In this paper, we compare the characteristics and pros and cons of specialized AI and Super-Giant AI (Foundation Models) and explore new application areas for Super-Giant AI in weapon systems. Anticipating future application areas and potential challenges, this research aims to provide insights into effectively integrating Super-Giant Artificial Intelligence into defense operations. It is expected to contribute to the development of military capabilities, policy formulation, and international security strategies in the era of advanced artificial intelligence.

Case Study and Performance Analysis of IT Convergence Business Models for Defense Sector (국방 IT융합 비즈니스 모델 사례와 성과 분석)

  • Sim, Seungbae;Yoo, Cheonsoo;Hong, Sumin
    • Journal of Information Technology Services
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    • v.14 no.2
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    • pp.275-287
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    • 2015
  • Information technology (IT) convergence have been recognized one of the key drivers in the industry perspective. Especially, IT convergence have been one of the most important innovative way for defense sector. Korea government established IT convergence policy in 2008 and have been applying it to the core industry such as automotive, shipbuilding and defense industries. Recently, the creative vitamin project has been launched. Vitamin 'D' means the way to create the value of defense industry. This research analyzes and evaluates various IT convergence business models based on an operation of defense IT convergence center from 2011 to 2014, which is the industry IT convergence centers. Defense IT convergence business models can be classified into four types of mission area as follows : weapon acquisition and management, military intelligence, military power construction, and resources management. We define the concept of defense IT convergence and describe the framework and processes for applying IT to the defense sector. We analyzes and evaluates various business models designed through defense IT convergence framework and processes.