Assistant Professor of National Defense University and Higher Research Institute
Abstract
Abstract Artificial intelligence, which is currently known as one of the fastest growing areas of technology development, presents many opportunities for countries to improve their capabilities in the defense and military fields and even achieve new capabilities. The important goal of the present research is the statistics of strategic themes and their corresponding goals in the roadmap for the development of artificial intelligence and its developable applications for security defense purposes. The upcoming research is classified as "applied descriptive research". In the findings, a list of artificial intelligence applications (24 cases) was classified, and goals corresponding to strategic themes (6 cases), obstacles (13 cases in four groups) and activators (17 cases in three groups) were extracted in the development of artificial intelligence. Finally, the applications of artificial intelligence technology in the military field were counted, which are divided as follows: 1. Weapons platform; 2. Cyber security; 3. Logistics and transportation; 4. Health of the battlefield; 5. Simulation and training; 6. Planning and allocation of resources; 7. Environmental awareness and threat monitoring; 8. Information processing; And finally, the proposed research model was presented.
احمدوند، علی محمد و میرجعفری، سیداصغر (1390). راهبردهای ارتقای امنیت عمومی در جمهوری اسلامی ایران با تمرکز بر شهر تهران. مطالعات دفاعی استراتژیک، ش45.
بلوجی، حیدرعلی (1387). «جایگاه اسناد دفاعی ملی در سیاستگذاریهای دفاعی کشورها». فصلنامه راهبرد دفاعی، شماره ششم
گرنت، رابرت ام (2013). مدیریت استراتژی با رویکرد امروزی. ترجمه: آرش خلیلی نصر (1394). تهران: آریانا قلم.
عابدی جعفری،عابد، امیری، مجتبی. (1398). فرا ترکیب، روشی برای سنتز مطالعات کیفی. حوزه و دانشگاه روش شناسی علوم انسانی, 25
ب. منابع انگلیسی
Aayog, N. I. T. I. "National strategy for artificial intelligence:# AIforAll." (2018).
Ai-hua, T. O. N. G. (2009). Research on SIFT-RANSAC Stabilization Algorithm of Infrared Video [J]. Aero Weaponry, 3.
Allen, G. C. (2019). Understanding China's AI Strategy: Clues to Chinese Strategic Thinking on Artificial Intelligence and National Security. Washington, DC: Center for a New American Security.
Artificial Intelligence Cluster Steering Committee. (2018). Strategy for the development of Queebc’s Artificial Intelligence ecosystem. Retrieved from: https://ai.quebec/wp-content/uploads/sites/2/2018/06/AI-Strategy_EN-ACJ-19-juin-v8.pdf
Bartlett, M. (2019, jan 28). The AI Arms Race In 2019. Retrieved from: https://towardsdatascience.com/the-ai-arms-race-in-2019-fdca07a086a7
Caldera, H. T. S., Desha, C., & Dawes, L. (2019). Evaluating the enablers and barriers for successful implementation of sustainable business practice in ‘lean’ Journal of Cleaner Production
Congressional Research Service. (2019). Artificial intelligence and national security (Report No. R45178). Retrieved from: https://fas.org/sgp/crs/natsec/R45178.pdf
Cummings, M. (2017). Artificial intelligence and the future of warfare. London: Chatham House for the Royal Institute of International Affairs
M. J. (2018). Army of the future: Artificial intelligence nad its impact on army operations. Canadian Forces College Journal.
rostami, M. (2022). Identifying and introducing the applied capabilities of artificial intelligence in the development of strategic themes in military organizations. Defence Studies, 20(78), 34-74.
MLA
mohsen rostami. "Identifying and introducing the applied capabilities of artificial intelligence in the development of strategic themes in military organizations", Defence Studies, 20, 78, 2022, 34-74.
HARVARD
rostami, M. (2022). 'Identifying and introducing the applied capabilities of artificial intelligence in the development of strategic themes in military organizations', Defence Studies, 20(78), pp. 34-74.
VANCOUVER
rostami, M. Identifying and introducing the applied capabilities of artificial intelligence in the development of strategic themes in military organizations. Defence Studies, 2022; 20(78): 34-74.