AI-ENABLED DRONES: THE CASE OF THE RUSSO-UKRAINIAN WAR AND ITS FAR-REACHING CONSEQUENCES

Yulia Razmetaeva

doi:10.69635/mssl.2025.1.2.22

Authors

Yulia Razmetaeva Ph.D., Centre for Multidisciplinary Research on Religion and Society, Department of Theology, Uppsala University, Thunbergsvagen 3B, 752 38, Uppsala, Sweden; Department of Human Rights and Legal Methodology, Center for Law, Ethics and Digital Technologies, Yaroslav Mudryi National Law University, Hryhoriia Skovorody Street 77, 61024, Kharkiv, Ukraine Author https://orcid.org/0000-0003-0277-0554

DOI:

https://doi.org/10.69635/mssl.2025.1.2.22

Keywords:

Artificial Intelligence, AI-Enabled Drones, Decision-Making, Drones, Human-AI Collaboration, Russo-Ukrainian War, Security and Defence Doctrine, Warfare

Abstract

The Russo-Ukrainian War has significantly accelerated the integration of artificial intelligence (AI) and drones (or unmanned aerial systems) into modern military operations, transforming security and defence. Traditional doctrines, centred on static, physical defences, have proven insufficient against the speed and adaptability of AI-enabled drone warfare. Drawing on recent operational evidence, this paper identifies three doctrinal shifts: the replacement of fixed defences with dynamic monitoring networks, based on collaborative human-AI decision-making; the decentralization of innovation through collaboration between military units and civilian actors; and the recognition of drones as inherently dual-use technologies requiring tailored policy frameworks. By analysing Ukraine’s adaptive approach to limited resources, the study underscores the strategic advantages of proactive detection, predictive analytics, and rapid technological iteration. These findings suggest that states that integrate AI-driven anticipation and dual-use preparedness into their doctrines will be better positioned to safeguard the civilian population and critical infrastructure in an era of rapid technological diffusion and evolving threats.

References

Agudo, U., Liberal, K. G., Arrese, M., Matute, H. (2024). The impact of AI errors in a human-in-the-loop process. Cognitive Research: Principles and Implications, 9, 1. https://doi.org/10.1186/s41235-023-00529-3.

Alcaraz, C., & Zeadally, S. (2025). Critical infrastructure protection: Requirements and challenges for the 21st century. International journal of critical infrastructure protection, 8, 53–66. https://doi.org/10.1016/j.ijcip.2014.12.002.

Aliane, N. (2025). Drones and AI-Driven Solutions for Wildlife Monitoring. Drones, 9, 455. https://doi.org/10.3390/drones9070455.

Alon-Barkat, S., & Busuioc, M. (2023). Human–AI interactions in public sector decision making: “automation bias” and “selective adherence” to algorithmic advice. Journal of Public Administration Research and Theory, 33(1), 153–169. https://doi.org/10.1093/jopart/muac007.

Araujo, T., Helberger, N., Kruikemeier, S., & De Vreese, C. H. (2020). In AI we trust? Perceptions about automated decision-making by artificial intelligence. AI & society, 35(3), 611–623. https://doi.org/10.1007/s00146-019-00931-w.

Atlas, R. M., & Dando, M. (2006). The dual-use dilemma for the life sciences: perspectives, conundrums, and global solutions. Biosecurity and bioterrorism: biodefence strategy, practice, and science, 4(3), 276–286.

Axe, D. (2024a). Ukraine’s Gun-Armed Ground Robot Just Cleared A Russian Trench In Kursk. Forbes. September 19, 2024. https://www.forbes.com/sites/davidaxe/2024/09/19/ukraines-gun-armed-ground-robot-just-cleared-a-russian-trench-in-kursk/.

Axe, D. (2024b). A Two-Pound Ukrainian Drone May Have Shot Down A 12-Ton Russian Helicopter. Forbes. July 31, 2024. https://www.forbes.com/sites/davidaxe/2024/07/31/a-two-pound-ukrainian-drone-just-shot-down-a-12-ton-russian-helicopter/.

Bathaee, Y. (2018). The Artificial Intelligence Black Box and the Failure of Intent and Causation. Harvard Journal of Law & Technology, 31(2), 889–938.

Bendett, S. & Kirichenko, D. (2025). Battlefield Drones and the Accelerating Autonomous Arms Race in Ukraine. January 10, 2025. https://mwi.westpoint.edu/battlefield-drones-and-the-accelerating-autonomous-arms-race-in-ukraine/#:~:text=Both%20Ukraine%20and%20Russia%20are,reducing%20risks%20to%20human%%2020live.

Bondar, K. (2024). Closing the Loop: Enhancing U.S. Drone Capabilities through Real-World Testing. Center for Strategic and International Studies. August 21, 2024. https://www.csis.org/analysis/closing-loop-enhancing-us-drone-capabilities-through-real-world-testing.

Bondar, K. (2025a). How Ukraine’s Operation “Spider’s Web” Redefines Asymmetric Warfare. June 2, 2025. https://www.csis.org/analysis/how-ukraines-spider-web-operation-redefines-asymmetric-warfare.

Bondar, K. (2025b). Ukraine’s Future Vision and Current Capabilities for Waging AI-Enabled Autonomous Warfare. Report of CSIS. Wadhwani AI Center. March 6, 2025. https://www.csis.org/analysis/ukraines-future-vision-and-current-capabilities-waging-ai-enabled-autonomous-warfare.

Buchelt, A., et al. (2024). Exploring artificial intelligence for applications of drones in forest ecology and management. Forest Ecology and Management, 551, 121530. https://doi.org/10.1016/j.foreco.2023.121530.

Busuioc, M. (2021). Accountable artificial intelligence: Holding algorithms to account. Public administration review, 81(5), 825–836. https://doi.org/10.1111/puar.13293.

Caballero-Martin, D., Lopez-Guede, J. M., Estevez, J., & Graña, M. (2024). Artificial Intelligence Applied to Drone Control: A State of the Art. Drones, 8, 296. https://doi.org/10.3390/drones8070296.

Calcara, A., Gilli, A., Gilli, M., Marchetti, R., Zaccagnini, I. (2022). Why drones have not revolutionized war: The enduring hider-finder competition in air warfare. International Security, 46(4), 130–171.

Chapple, A. (2024). Swarm Wars: The Shaky Rise Of AI Drones In Ukraine. Radio Free Europe/Radio Liberty. August 14, 2024. https://www.rferl.org/a/drone-ai-technology-russia-ukraine-war/33078798.html.

Choung, H., David, P., & Ross, A. (2023). Trust in AI and its role in the acceptance of AI technologies. International Journal of Human–Computer Interaction, 39(9), 1727–1739. https://doi.org/10.1080/10447318.2022.2050543.

Cheong, B. C. (2024). Transparency and accountability in AI systems: safeguarding wellbeing in the age of algorithmic decision-making. Frontiers in Human Dynamics, 6, 1421273. https://doi.org/10.3389/fhumd.2024.1421273.

Cobbe, J., Veale, M., & Singh, J. (2023). Understanding accountability in algorithmic supply chains. In Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency (FAccT ‘23). Association for Computing Machinery, New York, NY, USA, 1186–1197. https://doi.org/10.1145/3593013.3594073.

Crompton, L. (2021). The decision-point-dilemma: Yet another problem of responsibility in human-AI interaction. Journal of Responsible Technology, 7–8, 100013. https://doi.org/10.1016/j.jrt.2021.100013.

Dawson, A., Nadal, A. (2024). Concept to Combat: The Royal Air Force, Small Drones and the War in Ukraine. European Review of International Studies, 11 (3), Special issue: European Military Innovation in the wake of Russia’s invasion of Ukraine, 321–357.

De Ágreda, Á. G. (2020). Ethics of autonomous weapons systems and its applicability to any AI systems. Telecommunications Policy, 44(6), 101953. https://doi.org/10.1016/j.telpol.2020.101953.

Decker, M., Wegner, L., & Leicht-Scholten, C. (2025). Procedural fairness in algorithmic decision-making: the role of public engagement. Ethics and Information Technology, 27, 1. https://doi.org/10.1007/s10676-024-09811-4.

DeVore, M. R. (2023). “No end of a lesson:” observations from the first high-intensity drone war. defence & Security Analysis, 39(2), 263–266. https://doi.org/10.1080/14751798.2023.2178571.

Fratsyvir, A. (2025). Ukraine’s AI-powered ‘mother drone’ sees first combat use, minister says. The Kyiv Independent. May 29, 2025. https://kyivindependent.com/ukraines-ai-powered-mother-drone-sees-first-combat-use-minister-says/.

Gillath, O., Ai, T., Branicky, M. S., Keshmiri, S., Davison, R. B., & Spaulding, R. (2021). Attachment and Trust in Artificial Intelligence. Computers in Human Behavior, 115, 106607. https://doi.org/10.1016/j.chb.2020.106607.

Glikson, E., & Woolley, A. W. (2020). Human trust in artificial intelligence: Review of empirical research. Academy of management annals, 14(2), 627–660.

Grinbaum, A., & Adomaitis, L. (2024). Dual use concerns of generative AI and large language models. Journal of Responsible Innovation, 11(1). https://doi.org/10.1080/23299460.2024.2304381.

Haesevoets, T., Verschuere, B., Van Severen, R., & Roets, A. (2024). How do citizens perceive the use of Artificial Intelligence in public sector decisions? Government Information Quarterly, 41(1), 101906, https://doi.org/10.1016/j.giq.2023.101906.

Hambling, D. (2022). Ukraine Wins First Drone Vs. Drone Dogfight Against Russia, Opening A New Era Of Warfare (Updated). October 14. Forbes. https://www.forbes.com/sites/davidhambling/2022/10/14/ukraine-wins-first-drone-vs-drone-dogfight-against-russia-opening-a-new-era-of-warfare/.

Hambling, D. (2025a). Moving Targets: Implications of the Russo-Ukrainian War for Drone Terrorism. Combating Terrorism Center at West Point. July 2025. https://ctc.westpoint.edu/moving-targets-implications-of-the-russo-ukrainian-war-for-drone-terrorism/.

Hambling, D. (2025b). Ukraine Drone Carriers Launch First Long-Range Autonomous Strikes. Forbes. May 26, 2025. https://www.forbes.com/sites/davidhambling/2025/05/26/ukraine-drone-carriers-launch-first-long-range-autonomous-strikes/.

Helberger, N., Araujo, T., & de Vreese, C. H. (2020). Who Is the Fairest of Them All? Public Attitudes and Expectations Regarding Automated Decision-making. Computer Law & Security Review, 39, 105456. https://doi.org/10.1016/j.clsr.2020.105456.

Holzinger, A., Keiblinger, K., Holub, P., Zatloukal, K., Müller, H. (2023). AI for life: Trends in artificial intelligence for biotechnology. New biotechnology, 74, 16-24. https://doi.org/10.1016/j.nbt.2023.02.001.

Horowitz, M. C., Kahn, L., Macdonald, J., & Schneider, J. (2024). Adopting AI: How Familiarity Breeds Both Trust and Contempt. AI and Society, 39, 1721–1735.

Hambling, D. (2025). Ukraine Drone Carriers Launch First Long-Range Autonomous Strikes. Forbes. May 26, 2025. https://www.forbes.com/sites/davidhambling/2025/05/26/ukraine-drone-carriers-launch-first-long-range-autonomous-strikes/.

Institute for Economics & Peace. Global Peace Index 2025: Identifying and Measuring the Factors that Drive Peace, Sydney, June 2025. Available from: http://visionofhumanity.org/resources (accessed 30 July 2025).

Khomenko, I. (2024). How Ukraine Is Using AI Drones to Outsmart Russia on the Battlefield. United 24 Media. November 19, 2024. https://united24media.com/latest-news/how-ukraine-is-using-ai-drones-to-outsmart-russia-on-the-battlefield-3833.

King, A. (2024). Robot wars: Autonomous drone swarms and the battlefield of the future. Journal of Strategic Studies, 47(2), 185–213. https://doi.org/10.1080/01402390.2024.2302585.

Kirichenko, D. (2025). Why Ukraine’s AI drones aren’t a breakthrough yet. The Strategist. Australian Strategic Policy Institute. 19 June 2025. https://www.aspistrategist.org.au/why-ukraines-ai-drones-arent-a-breakthrough-yet/.

Kunertova, D. (2023). The war in Ukraine shows the game-changing effect of drones depends on the game. Bulletin of the Atomic Scientists, 79(2), 95–102. https://doi.org/10.1080/00963402.2023.2178180.

Kushnikov, V. (2025). Azov Brigade Drones Deliver Blood to Critically Wounded Soldier at Front Line. Militarnyi. February 21, 2025. https://militarnyi.com/en/news/azov-brigade-drones-deliver-blood-to-critically-wounded-soldier-at-front-line/.

Levy, K., Chasalow, K. E., Riley, S. (2021). Algorithms and decision-making in the public sector. Annual Review of Law and Social Science, 17(1), 309–334.

Mazhulin, A., Holmes, O., Swan, L., Boulinier, L., & Hecimovic, A. (2025). Operation Spiderweb: a visual guide to Ukraine’s destruction of Russian aircraft. The Guardian. 2 June 2025. https://www.theguardian.com/world/2025/jun/02/operation-spiderweb-visual-guide-ukraine-drone-attack-russian-aircraft?ref=hackernoon.com.

Miller, S.; Selgelid, M. (2007). Ethical and Philosophical Consideration of the Dual-Use Dilemma in the Biological Sciences. Science and Engineering Ethics, 13(4), 523–580. https://doi.org/10.1007/s11948-007-9043-4.

Newdick, T. (2024). Ukraine Claims Its Drone Boat Shot Down A Russian Mi-8 Helicopter With A Surface-To-Air Missile. December 31, 2024. https://www.twz.com/sea/ukraine-claims-its-drone-boat-shot-down-a-russian-mi-8-helicopter-with-a-surface-to-air-missile.

Ng, Y.-F., Gray, S. (2022). Disadvantage and the Automated Decision. Adelaide Law Review, 43(2), 641–677.

Novelli, C., Taddeo, M., Floridi, L. (2024). Accountability in artificial intelligence: What it is and how it works. AI & Society, 39(4), 1871–1882.

Panella, C. (2025). The AI drone revolution isn’t here yet, but Ukraine and Russia are laying the groundwork in battle. Business Insider. June 9, 2025. https://www.businessinsider.com/ai-drone-boom-isnt-here-ukraine-russia-setting-stage-researchers-2025-6.

Plichta, M., & Rossiter, A. (2024). A one-way attack drone revolution? Affordable mass precision in modern conflict. Journal of Strategic Studies, 47(6–7), 1001–1031. https://doi.org/10.1080/01402390.2024.2385843.

Rogers J. (2021). Future threats: Military UAS, terrorist drones, and the dangers of the second drone age. InDrone Warfare: Trends and emerging issues (pp. 481–505). The Joint Air Power Competence Centre.

Roshanaei, M. (2021). Resilience at the core: critical infrastructure protection challenges, priorities and cybersecurity assessment strategies. Journal of Computer and Communications, 9(8), 80–102.

Schaap, G., Bosse, T., & Hendriks Vettehen, P. (2024). The ABC of algorithmic aversion: Not agent, but benefits and control determine the acceptance of automated decision-making. AI & society, 39(4), 1947–1960. https://doi.org/10.1007/s00146-023-01649-6.

Schlicker, N., Langer, M., Ötting, S. K., Baum, K., König, C. J., & Wallach, D. (2021). What to expect from opening up ‘black boxes’? Comparing perceptions of justice between human and automated agents. Computers in Human Behavior, 122, 106837, https://doi.org/10.1016/j.chb.2021.106837.

Schmid, J., Mueller, E. (2025). What the Pentagon Might Learn from Ukraine About Fielding New Tech. Rand. Commentary. February 14, 2025. https://www.rand.org/pubs/commentary/2025/02/what-the-pentagon-might-learn-from-ukraine-about-fielding.html.

Shneiderman, B. (2020). Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy. International Journal of Human–Computer Interaction, 36(6), 495–504.

Slusher, M. (2025). Lessons from the Ukraine Conflict: Modern Warfare in the Age of Autonomy, Information, and Resilience. Center for Strategic and International Studies. Report. May 2, 2025. https://www.csis.org/analysis/lessons-ukraine-conflict-modern-warfare-age-autonomy-information-and-resilience.

Stepanenko, K. (2025). The Battlefield AI Revolution Is Not Here Yet: The Status of Current Russian and Ukrainian AI Drone Efforts. Special report. Institute for the Study of War. June 2, 2025. https://understandingwar.org/backgrounder/battlefield-ai-revolution-not-here-yet-status-current-russian-and-ukrainian-ai-drone.

Tucker, P. (2024). New AI-powered strike drone shows how quickly battlefield autonomy is evolving. defenceOne. October 10, 2024. https://www.defenceone.com/technology/2024/10/new-ai-powered-strike-drone-shows-how-quickly-battlefield-autonomy-evolving/400179/.

Tweneboah-Koduah, S., Buchanan, W. J. (2018). Security risk assessment of critical infrastructure systems: A comparative study. The Computer Journal, 61(9), 1389–1406. https://doi.org/10.1093/comjnl/bxy002.

UN Security Council. (2011). Final report of the Panel of Experts on Libya established pursuant to Security Council resolution 1973 (2011). 8 March 2021. S/2021/229. https://docs.un.org/en/S/2021/229.

Watling, J., Reynolds, N. (2025). Tactical Developments During the Third Year of the Russo–Ukrainian War. The Royal United Services Institute for Defence and Security Studies. Report. February 2025. https://static.rusi.org/tactical-developments-third-year-russo-ukrainian-war-february-2205.pdf.

Wenzelburger, G., König, P. D., Felfeli, J., Achtziger, A. (2024). Algorithms in the public sector. Why context matters. Public Administration, 102(1), 40–60.

Yusta, J. M., Correa, G. J., Lacal-Arántegui, R. (2011). Methodologies and applications for critical infrastructure protection: State-of-the-art. Energy policy, 39(10), 6100–6119. https://doi.org/10.1016/j.enpol.2011.07.010.

Zaluzhnyi, V. (2025). How drones, data, and AI transformed our military—and why the US must follow suit. Defence One. April 10, 2025. https://www.defenceone.com/ideas/2025/04/how-drones-data-and-ai-transformed-our-militaryand-why-us-must-follow-suit/404444/.

Zoria, Y. (2025). First battlefield capitulation to robots: Ukrainian drones force Russian surrender and seize fortified position (video). Euromaidan Press. February 9, 2025. https://euromaidanpress.com/2025/07/09/first-battlefield-capitulation-to-robots-ukrainian-drone-unit-takes-positions-and-prisoners-with-zero-troops-video/#google_vignette.