Revolutionizing Warfare: The Role of Artificial Intelligence in the Future of Defense
DOI:
https://doi.org/10.63062/trt/V24.032Keywords:
Artificial Intelligence, Modern Warfare, Hyperwar, Military DomainAbstract
This research paper basically analyzes the neophyte role of Artificial Intelligence in the defense domain and the ways through which this has been revolutionizing modern warfare with new operational and functional methods and tactics on the battlefield coupled with empowering decision-making processes outside the field. AI has been ingrained deeply into the veins of modern warfare at such a level that not only does it provide the facilities of an autonomous machine that works independently of human fallacious features but also enhances the potential of decision-making capabilities in order to analyze larger sets of data in a few minutes. Moreover, developments in AI and its integration in the military domain have led to the novice concept of ''Hyperwar,'' where automation of machines would eventually minimize human control over decisions. The effects of platforms under AI control would be multiplied by many folds, ultimately making it impossible for an enemy to execute a command or respond, known as the multiplier force effect. Not only will its application enhance the capacity and capability of weapons systems, but it also will alter the nature of warfare. This paper substantially investigates the unprecedented contingencies and how AI-based applications are putting three basic and integral aspects of the future of defense in danger, particularly Autonomous Weapons systems and modern warfare, Intelligence, reconnaissance, and national and international Security. However, few skeptics argue that the application of AI in the military domain requires a fundamental recalculation of what constitutes deterrence and military strength.
References
Andresky, N., & Taliaferro, A. (2019). Operationalizing artificial intelligence for multi-domain operations. Tech. Rep. https://apps.dtic.mil/sti/citations/trecms/AD1084346
Angelov, G. (2022). Military Implications of the Nagorno-Karabakh Conflict: Tactics and Technologies. Information & Security, 51, 49-55. https://doi.org/10.11610/isij.5104
Araya, D., & King, M. (2022). The impact of artificial intelligence on military defence and security (No. 263). CIGI Papers. https://hdl.handle.net/10419/299735
Chen, L. C., Chang, K. H., & Yang, S. C. (2023). Integrating corpus-based and NLP approach to extract terminology and domain-oriented information: an example of US military corpus. Acta Scientiarum: Technology. http://dx.doi.org/10.4025/actascitechnol.v44i1.60486
Coker, C. (2019). Artificial Intelligence and the Future of War. Scandinavian Journal of Military Studies, 2(1), 55–60. https://doi.org/10.31374/sjms.26
Cummings, M. (2017). Artificial intelligence and the future of warfare (pp. 01-26). London: Chatham House for the Royal Institute of International Affairs. https://text2fa.ir/wp-content/uploads/Text2fa.ir-Artificial-Intelligence-and-the-future-of-warfare.pdf
Gaire, U. S. (2023). Application of Artificial Intelligence in the Military: An Overview. Unity Journal, 4(01), 161-174. https://doi.org/10.3126/unityj.v4i01.52237
Guitton, M. J. (2021). Fighting the locusts: Implementing military countermeasures against drones and drone swarms. Scandinavian Journal of Military Studies, 4(1), 26-36. https://doi.org/10.31374/sjms.53
Haney, B. S. (2020). Applied artificial intelligence in modern warfare and national security policy. Hastings Sci. & Tech. LJ, 11, 61. https://heinonline.org/HOL/LandingPage?handle=hein.journals/hascietlj11&div=7&id=&page=
Horowitz, M. C. (2018). Artificial Intelligence, International Competition, and the Balance of Power (May 2018). Repositories.lib.utexas.edu, 1(3). https://doi.org/10.15781/T2639KP49
Hurst, J. (2017). Robotic swarms in offensive maneuver. Joint Force Quarterly, 87(4), 105-11. https://ndupress.ndu.edu/Portals/68/Documents/jfq/jfq-87/jfq-87_105-111_Hurst.pdf
Husain, A. (2021). AI is Shaping the Future of War. Prism, 9(3), 50-61. https://www.jstor.org/stable/48640745
Jiang, L., Tay, N., Zadeh, H. S., & Bulluss, G. (2015). Towards Defence Strategic Data Planning. http://www.mssanz.org.au/modsim2015
Johnson, J. (2019). Artificial intelligence & future warfare: implications for international security. Defense & Security Analysis, 35(2), 147-169. https://doi.org/10.1080/14751798.2019.1600800
Khan, A., Imam, I., & Azam, A. (2021). Role of Artificial Intelligence in Defence Strategy. Strategic Studies, 41(1), 19-40. https://www.jstor.org/stable/48732266
Khaipnazarova, M. (2022). Artificial intelligence in the context of defense industry: the comparative study on russian and the us national ai strategies [Master's thesis]. Başkent Üniversitesi.
Kreinbrink, J. L. (2019). for Analysis of artificial intelligence (AI) enhanced technologies in support of cyber defense: Advantages, challenges, and considerations future deployment [Master's Thesis]. Utica College.
Meier, M. W. (2016). Lethal autonomous weapons systems (laws): conducting a comprehensive weapons review. Temp. Int'l & Comp. LJ, 30, 119.
Namiot, D., Ilyushin, E., & Chizhov, I. (2021). Military applications of machine learning. International Journal of Open Information Technologies, 10(1), 69-76. http://injoit.ru/index.php/j1/article/view/1245
Payne, K. (2024). Bright Prospects, Big Challenges: Defence AI in the United Kingdom. In The Very Long Game: 25 Case Studies on the Global State of Defense AI (pp. 85-105). Cham: Springer Nature Switzerland.
Syenmarck, P., Luotsinen, L., Nilsson, M., & Schubert, J. (2018, May). Possibilities and challenges for artificial intelligence in military applications. In Proceedings of the NATO Big Data and Artificial Intelligence for Military Decision Making Specialists’ Meeting (Vol. 1).
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Tahir Abbas, Wajid Ali, Irfan Ali Khan, Suleman Saleem
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.