Unleashing autonomous forces: integrating AI-driven drones in modern military strategy

Radovanović, Marko and Petrovski, Stefan and Behlic, Aner and Chaari Zied, Mohamed and Hashimov Giyas, Elshan and Fellner, Radoslaw and Agbeyandi o., Abayomi (2024) Unleashing autonomous forces: integrating AI-driven drones in modern military strategy. Системи управління навігації та зв’язку Збірник наукових праць, 3 (77). ISSN 2073-7394

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Abstract

The impact of Artificial Intelligence (AI) on international security is unmistakable, as machines are now capable of undertaking tasks traditionally reserved for human intelligence. This shift brings forth a myriad of challenges in international security, affecting both conventional military capabilities and hybrid threats. Simultaneously, AI presents new opportunities to address these challenges, influencing key aspects of collective defense, cooperative security systems and crisis management. Given its profound implications for prosperity and security, effective management of AI requires collaborative efforts. The scope of promise and peril associated with AI is vast, necessitating collective action to mitigate security risks and leverage its potential to restructure operational processes, support missions, and streamline operations. This paper primarily focuses on introducing drones equipped with artificial intelligence and autonomous learning capabilities, exploring their applications in military contexts. It examines the potential for the independent use of AI-driven drones in both combat and non-combat army operations. By leveraging GIS, C5IRS (Command, Control, Computers, Communications, Cyber-Defense, Intelligence, Surveillance, and Reconnaissance), and AI, these drones provide a significant battlefield advantage by operating autonomously and adapting to dynamic ground situations. In a battlespace where the amalgamation of human, information, and physical components is crucial for strategic advantage, interoperability emerges as a vital factor.

Item Type: Article
Subjects: Engineering and Technology > Other engineering and technologies
Divisions: Military Academy
Depositing User: Aleksandar Petrovski
Date Deposited: 15 Sep 2026 10:07
Last Modified: 14 Oct 2026 12:02
URI: https://eprints.ugd.edu.mk/id/eprint/39008

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