Artificial Intelligence Applications in Military Systems and Their Influence on Sense of Security of Citizens
Open accessAbstract
The paper presents an overview of current and expected prospects for the development of artificial intelligence algorithms, especially in military applications, and conducted research regarding applications in the area of civilian life. Attention was paid mainly to the use of AI algorithms in cybersecurity, object detection, military logistics and robotics. It discusses the problems connected with the present solutions and how artificial intelligence can help solve them. It briefly presents also mathematical structures and descriptions for ART, CNN and SVM networks as well as Expectation–Maximization and Gaussian Mixture Model algorithms that are used in solving of discussed problems. The third chapter discusses the attitude of society towards the use of neural network algorithms in military applications. The basic problems related to ethics in the application of artificial intelligence and issues of responsibility for errors made by autonomous systems are discussed.
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RFC 7149 and the IETF describe SDN as a collection of methods for facilitating network services' deterministic, dynamic, and scalable design, provision, and operation.
“Among these, the RFC 7149 and the IETF describe SDN as a collection of methods for facilitating network services' deterministic, dynamic, and scalable design, provision, and operation [92].”
From Artificial Intelligence in the Military: An Overview of the Capabilities, Applications, and Challenges (2023) · cites this paper as [92]
Using fuzzy ARTMAP by AIS greatly aids the military use of AIS data.
“Using fuzzy ARTMAP by AIS greatly aids the cause [92].”
From Artificial Intelligence in the Military: An Overview of the Capabilities, Applications, and Challenges (2023) · cites this paper as [92]
SDN generally allows users to operate networks more effectively and affordably.
“SDN generally allows users to operate networks more efectively and afordably [92].”
From Artificial Intelligence in the Military: An Overview of the Capabilities, Applications, and Challenges (2023) · cites this paper as [92]
Spot and Atlas are examples of bioinspired AI-assisted robots that can be employed on the battlefield.
“Two examples of bioinspired AI-assisted robots that can be employed on the battlefeld are Spot (Figure 18) and Atlas (Figure 19) [92].”
From Artificial Intelligence in the Military: An Overview of the Capabilities, Applications, and Challenges (2023) · cites this paper as [92]
Boston Dynamics is the market leader in mobile robots.
“Boston dynamics, an American corporation, is the market leader in mobile robots.”
From Artificial Intelligence in the Military: An Overview of the Capabilities, Applications, and Challenges (2023) · cites this paper as [92]
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References 63 · Cited by 104
- Authors
- Bistron, M., & Piotrowski, Z.
- Affiliations
- Faculty of Electronics, Military University of Technology, 00-908 Warsaw, Poland
- Military University of Technology in Warsaw (PL)
- Venue
- Electronics
- Publisher
- MDPI AG
- Published
- 2021-04-06
- Volume
- 10
- Issue
- 7
- Pages
- 871
- ISSN
- 2079-9292 (ISSN-L)
- OpenAlex
- W3145098975
- Cited by
- 104
- References
- 63
- Citations by year
- 2026: 8 · 2025: 20 · 2024: 27 · 2023: 28 · 2022: 14 · 2021: 7
- FWCI
- 6.72
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Electronics (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Physical Sciences › Engineering › Control and Systems Engineering › Military Strategy and Technology
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Keywords
- cybersecurity, object detection, military logistics, military robotics, artistic networks, convolutional neural networks, support vector machine, expectation-maximization algorithm, Gaussian mixture model, public attitudes toward AI, AI ethics
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