Algorithms in Battle: AI, International Relations, and Future Warfare

This study examines the role of artificial intelligence (AI) in transforming contemporary warfare, with a particular emphasis on its applications in unmanned aerial platforms, sensor networks, and decision-support architectures. The analysis examines current operational uses, the algorithmic processes that enable them, and empirical insights drawn from the Russian-Ukrainian War. Findings indicate that machine learning enhances key military functions, including surveillance, navigation, targeting, fire coordination, and maintaining communication networks under conditions of electronic disruption. The emergence of loitering munitions and autonomous navigation systems reflects a pattern of incremental innovation, wherein automation augments operational efficiency without displacing human authority in decisions involving the use of lethal force. Despite these advances, AI-enabled systems remain constrained by persistent vulnerabilities, most notably, exposure to electronic jamming, adversarial input manipulation, and a fundamental dependence on data integrity. At the strategic level, the diffusion of artificial intelligence reshapes deterrence dynamics, crisis management frameworks, and alliance interoperability, while simultaneously generating unresolved ethical and governance dilemmas. The study concludes that artificial intelligence presently functions as a complementary rather than substitutive capability, reinforcing the imperative for institutional safeguards designed to balance enhanced military effectiveness with the preservation of strategic stability. Future research should critically assess the long-term implications of AI-driven military capabilities for international security, evaluate the robustness and enforceability of safeguards against misuse, and examine the adaptability of institutional frameworks in response to the accelerating militarization of emerging technologies.