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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">sustain</journal-id><journal-title-group><journal-title xml:lang="ru">Надежность</journal-title><trans-title-group xml:lang="en"><trans-title>Dependability</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1729-2646</issn><issn pub-type="epub">2500-3909</issn><publisher><publisher-name>RAMS Journal Limited liability company</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.21683/1729-2646-2025-25-2-50-58</article-id><article-id custom-type="elpub" pub-id-type="custom">sustain-662</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>СИСТЕМЫ УПРАВЛЕНИЯ И ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>СИСТЕМЫ УПРАВЛЕНИЯ И ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ</subject></subj-group></article-categories><title-group><article-title>Теория игр для автономных систем искусственного интеллекта при управлении корпорациями</article-title><trans-title-group xml:lang="en"><trans-title>Game theory for autonomous AI systems in corporate governance.</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0004-4649-6037</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Романова</surname><given-names>А. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Romanova</surname><given-names>A. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Романова Анна Сергеевна – эксперт в области цифровой трансформации, к.э.н., Аспирант по направлению «Искусственный интеллект и машинное обучение»</p></bio><bio xml:lang="en"><p>Anna S. Romanova, an expert in digital transformation, Candidate of Economics,Postgraduate student, Artificial Intelligence and Machine Learning</p></bio><email xlink:type="simple">romanova.as@phystech.edu</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Московский физико-технический институт (национальный исследовательский университет)</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Moscow Institute of Physics and Technology (National Research University)</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>05</day><month>06</month><year>2025</year></pub-date><volume>25</volume><issue>2</issue><fpage>50</fpage><lpage>58</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Романова А.С., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Романова А.С.</copyright-holder><copyright-holder xml:lang="en">Romanova A.S.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.dependability.ru/jour/article/view/662">https://www.dependability.ru/jour/article/view/662</self-uri><abstract><p>Несмотря на то, что современные технологии искусственного интеллекта в значительной степени основаны на машинном обучении, сами по себе алгоритмы машинного обучения стратегией не являются. Стратегией мы будем называть полное описание того, как система будет себя вести при всех возможных обстоятельствах. Наиболее перспективным инструментом, позволяющим автономным системам принимать эффективные решения при управлении корпорациями, представляется теория игр. Учитывая разнообразие проблем, с которыми приходится сталкиваться советам директоров, теория игр, нашедшая свое применение в экономике, политологии, чистой математике, психологии, социологии, маркетинге и финансах, предоставляет возможность обеспечивать автономность системы искусственного интеллекта на основе моделирования эффективной стратегии. Обязательное требование о разработке этичных и легитимных автономных систем искусственного интеллекта может привести к тому, что некоторые дилеммы самой теории игр для автономных систем или не существуют, или изменяют свой смысл.</p></abstract><trans-abstract xml:lang="en"><p>Despite the fact that modern artificial intelligence technologies are largely based on machine learning, machine learning algorithms themselves are not a strategy. We will define a strategy as a complete description of how a system will behave under all possible circumstances. Game theory appears to be the most promising tool that allows autonomous systems to make effective decisions when managing corporations. Given the variety of problems faced by boards of directors, game theory that has found application in economics, political science, pure mathematics, psychology, sociology, marketing and finance, potentially enables an autonomous artificial intelligence system based on effective strategy simulation. If the development of ethical and legitimate autonomous AI systems is mandatory, some dilemmas of game theory itself either become nonexistent or change their meaning in the context of game theory.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>теория игр</kwd><kwd>искусственный интеллект</kwd><kwd>алгоритмические решения</kwd><kwd>корпоративное управление</kwd><kwd>андроиды</kwd></kwd-group><kwd-group xml:lang="en"><kwd>game theory</kwd><kwd>artificial intelligence</kwd><kwd>algorithmic solutions</kwd><kwd>corporate governance</kwd><kwd>androids</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Davis M.D. Game Theory: A Nontechnical Introduction. Dover Publications, 1997. 208 p.</mixed-citation><mixed-citation xml:lang="en">Davis M.D. Game Theory: A Nontechnical Introduction. 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