Professors O.S. Parkhomchuk and O.A. Koppel delivered a presentation and published materials at the II International Relations and Diplomacy Conference

Professors O.S. Parkhomchuk and O.A. Koppel from the Department of International Relations and Foreign Policy delivered a presentation and published materials at the II International Relations and Diplomacy Conference “Challenges, Cooperation and Multilateralism in a Changing Global Order”, which took place on 1–3 October 2026 in Budapest (Hungary) at the Ludovika University of Public Service

Within the section “AI in Foreign and Security Policy”, they presented the paper: “Artificial Intelligence in a Changing Global Order: A Fractal Approach to Security, Rivalry and International Cooperation”.The paper proposes an operationalized fractal approach to analyzing the impact of artificial intelligence (AI) on international security, strategic competition, and the formation of new cooperation regimes. The starting thesis is that AI does not create an autonomous “digital” sphere of international relations, but rather accelerates and restructures existing relations of power, interdependence, mistrust, and cooperation. Based on the principles of self‑similarity, scalability, recursion, nodal sensitivity, and temporal compression, the paper proposes a Fractal Security Transmission Matrix (FSTM) that makes it possible to trace how a local technological change propagates to the operational, strategic, and systemic levels. Empirically, the model is tested on four interrelated cases: the “drone–electronic warfare (EW)–adaptation” cycles in the Russian‑Ukrainian war; the US–China competition over semiconductors and computing power; the risks of algorithmic temporal compression in military‑political decision‑making; and the formation of a multi‑level architecture for global AI governance. The study demonstrates that the key unit of analysis is not an individual technology but the recurring mechanism “innovation — advantage — countermeasure — adaptation,” which reproduces across scales and is transmitted through nodes of tension: chips, data, computing infrastructure, satellite systems, communication channels, and standards. The novelty of the research lies in moving from a metaphorical use of fractality to a set of observable indicators suitable for comparative analysis and early detection of escalation channels. The paper shows that the future order in the AI domain will have a mosaic structure: intense competition in critical technological segments will be combined with selective cooperation on risks, standards, human control, and the prevention of uncontrolled escalation.