politicalscienceВестник РГГУ. Серия “Политология. История. Международные отношения.”RSUH/RGGU Bulletin Series "Political Science. History. International Relations"2073-6339Издательский центр Российского государственного гуманитарного университета10.28995/2073-6339-2025-4-12-27politicalscience-801Research ArticleИСТОРИЯ МЕЖДУНАРОДНЫХ ОТНОШЕНИЙ И ВНЕШНЕЙ ПОЛИТИКИHISTORY OF INTERNATIONAL RELATIONS AND FOREIGN POLICYПрименение искусственного интеллекта в анализе внешней политики США: обзор современных практикAI-assisted methods in US foreign policy analysis: A review of current practiceshttps://orcid.org/0000-0002-0156-9069ЦветковаН. А.TsvetkovaN. A.

Наталья А. Цветкова, доктор исторических наук, профессор

117997, Москва, Хлебный пер., д. 2/3, стр. 1

Natalia A. Tsvetkova, Dr. of Sci. (History), professor

bldg. 1, bld. 2/3, Khlebny Line, Moscow, Russia, 117997

n.tsvetkova@iskran.ruИнститут США и Канады РАН им. Г.А. АрбатоваРоссияGeorgy Arbatov Institute for US and Canada StudiesRussian Federation202510082025041227Copyright © Цветкова Н.А., 20252025Цветкова Н.А.Tsvetkova N.A.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://politicalscience.rsuh.ru/jour/article/view/801

Статья посвящена анализу направлений использования искусственного интеллекта (ИИ) в исследованиях внешней политики и международных отношений. Автор рассматривает четыре ключевые области применения ИИ: прогнозирование международных событий, моделирование дипломатических переговоров, оценка рисков автоматизированных решений в ядерной сфере и анализ процесса принятия внешнеполитических решений. В центре внимания – сравнительная оценка моделей, разработанных в США, Китае и России, и возможности локальных ИИ как эффективного инструмента экспертного анализа. Особое внимание уделяется методам бенчмаркинга и роли эксперта в интерпретации результатов.

This article examines the application of artificial intelligence (AI) in the analysis of foreign policy and international relations, with a particular emphasis on the United States. It identifies four principal fields of AI application: forecasting international events, modeling diplomatic negotiations, evaluating the risks of automated decision-making in the nuclear domain, and analyzing foreign policy decision-making processes. The article offers a comparative assessment of AI systems developed in the United States, China, and Russia, underscoring the growing relevance of specialized and domain-specific AI models as tools for expert analysis. Particular attention is devoted to benchmarking methodologies for evaluating generative models and to the critical role of human expertise in interpreting AI-generated outputs.

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The authors declare that there are no conflicts of interest present.