Artificial intelligence in national security and defense: opportunities and challenges, risk and threat mitigation
DOI:
https://doi.org/10.68347/sv5anm22Keywords:
artificial intelligence, national security, defense, ethics, data security, autonomous systems, geopolitics, human resources, cybersecurity, international cooperationAbstract
This article explores the role of artificial intelligence in the field of national security and defense. It reveals the opportunities, challenges, risks, and threats associated with the use of artificial intelligence. The article analyzes partnerships and competition, technological and geopolitical consequences of artificial intelligence development, particularly in the context of the current stage of international relations. Ethical and legal aspects are considered, such as data security and privacy issues, as well as responsibility for autonomous systems. The authors propose a substantiated system of measures for the development and provision of artificial intelligence in the field of national security and defense. The article highlights important aspects to consider when developing strategies for the use of artificial intelligence for national security and defense and their practical implementation.
References
Allen, G., & Chan, T. (2017, July). Artificial intelligence and national security. Belfer Center for Science and International Affairs. https://www.belfercenter.org/sites/default/files/files/publication/AI%20NatSec%20-%20final.pdf
Barr, A., & Feigenbaum, E. A. (Eds.). (1981). The handbook of artificial intelligence (Vol. 1).
Bortko, Ye. N. (1985). Dovidnyk z shtuchnoho intelektu [Handbook of artificial intelligence]. Radio i sviaz.
Congressional Research Service. (n.d.). Artificial intelligence and national security (R45178). https://sgp.fas.org/crs/natsec/R45178.pdf
Copeland, J. (Ed.). (n.d.). The mind and the computing machine [Discussion of 27 October 1949]. The Rutherford Journal. https://www.rutherfordjournal.org/article010111.html
Davis, R., & Lenat, D. B. (1982). Knowledge-based systems in artificial intelligence. McGraw-Hill International Book Company.
European Commission. (2021). Proposal for a regulation laying down harmonised rules on artificial intelligence. https://ec.europa.eu/newsroom/dae/redirection/document/7578
European Parliament. (2020). Opportunities of artificial intelligence (IPOL_STU(2020)652713). https://www.europarl.europa.eu/RegData/etudes/STUD/2020/652713/IPOL_STU(2020)652713_EN.pdf
European Parliament. (n.d.). Artificial intelligence: Threats and opportunities. https://www.europarl.europa.eu/news/en/headlines/society/20200918STO87404/artificial-intelligence-threats-and-opportunities
Ford, M. (2015). Rise of the robots: Technology and the threat of a jobless future. Basic Books.
Glushkov, V. M. (1962). Sintez tsifrovykh avtomatov [Synthesis of digital automata]. Fizmatgiz.
Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. MIT Press.
Jackson, P. (1986). Introduction to expert systems. Addison-Wesley.
Jordan, M. I., & Mitchell, T. M. (2015). Machine learning: Trends, perspectives, and prospects. Science, 349(6245), 255–260.
LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436–444.
McCarthy, J., Minsky, M. L., Rochester, N., & Shannon, C. E. (2006). A proposal for the Dartmouth summer research project on artificial intelligence, August 31, 1955. AI Magazine, 27(4), 12. https://doi.org/10.1609/aimag.v27i4.1904 (Original proposal dated 1955)
Samuel, A. L. (1959). Some studies in machine learning using the game of checkers. IBM Journal of Research and Development, 3(3), 210–229. https://doi.org/10.1147/rd.33.0210
Schmidhuber, J. (2015). Deep learning in neural networks: An overview. Neural Networks, 61, 85–117.
Sharma, S. (2022, September 12). AI and national security: Major power perspectives and challenges (IDSA Issue Brief). Institute for Defence Studies and Analyses. https://idsa.in/publisher/issuebrief/ai-and-national-security-major-power-perspectives-and-challenges
Silver, D., Huang, A., Maddison, C. J., Guez, A., Sifre, L., van den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., Dieleman, S., Grewe, D., Nham, J., Kalchbrenner, N., Sutskever, I., Lillicrap, T., Leach, M., Kavukcuoglu, K., Graepel, T., & Hassabis, D. (2016). Mastering the game of Go with deep neural networks and tree search. Nature, 529(7587), 484–489. https://doi.org/10.1038/nature16961
Stanford Institute for Human-Centered Artificial Intelligence. (2023). Artificial intelligence index report 2023.
Tsiapa, S. M. (2021). Ohliad zarubizhnykh zakonodavchykh initsiatyv stratehichnoho vykorystannia tekhnolohii shtuchnoho intelektu v suchasnykh umovakh [Review of foreign legislative initiatives on the strategic use of artificial intelligence technologies in current conditions]. Informatsiia i pravo, (2), 51–59.
United Nations. (2020). UN e-government survey 2020: Digital government in the decade of action for sustainable development. https://publicadministration.un.org/egovkb/en-us/Reports/UN-E-Government-Survey-2020
von Neumann, J. (1958). The computer and the brain. Yale University Press.
Wiener, N. (1961). Cybernetics: Or control and communication in the animal and the machine (2nd rev. ed.). MIT Press. (Original work published 1948)
Wilkes, M. V., Wheeler, D. J., & Gill, S. (1951). The preparation of programs for an electronic digital computer. Addison-Wesley Press.
Downloads
Published
License
Copyright (c) 2024 Yuriy Danyk, Vitalii Andreichuk
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright in their work and grant the journal the right of first publication. All articles are published under the Creative Commons Attribution 4.0 International licence (CC BY 4.0).
The content may be freely read, downloaded, copied, distributed, printed, searched, cited, and used for any lawful purpose, provided appropriate credit is given to the original authors.
