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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">etl</journal-id><journal-title-group><journal-title xml:lang="ru">Экономика. Налоги. Право</journal-title><trans-title-group xml:lang="en"><trans-title>Economics, taxes &amp; law</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1999-849X</issn><issn pub-type="epub">2619-1474</issn><publisher><publisher-name>Финансовый университет при Правительстве Российской Федерации</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26794/1999-849X-2025-18-5-165-177</article-id><article-id custom-type="elpub" pub-id-type="custom">etl-393</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>ПРАВО</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>LAW</subject></subj-group></article-categories><title-group><article-title>Искусственный интеллект: современные подходы к многостороннему регулированию</article-title><trans-title-group xml:lang="en"><trans-title>Artificial Intelligence: Modern Approaches to Multilateral Regulation</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-1519-1183</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Ревенко</surname><given-names>Л. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Revenko</surname><given-names>L. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Лилия Сергеевна Ревенко – доктор экономических наук, профессор, профессор кафедры международных экономических отношений и внешнеэкономических связей им. Н. Н. Ливенцева</p><p>Москва</p></bio><bio xml:lang="en"><p>Lilia S. Revenko – Dr. Sci. (Econ.), Prof., Prof. of Liventsev Department of International Economic Relations and Foreign Economic Affairs</p><p>Moscow</p></bio><email xlink:type="simple">l.revenko@inno.mgimo.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-0359-5201</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Ревенко</surname><given-names>Н. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Revenko</surname><given-names>N. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Николай Сергеевич Ревенко – кандидат политических наук, ведущий научный сотрудник Института исследований международных экономических отношений</p><p>Москва</p></bio><bio xml:lang="en"><p>Nikolay S. Revenko – Cand. Sci. (Polit.), Leading Researcher, Institute for Research of International Economic Relations</p><p>Moscow</p></bio><email xlink:type="simple">reni100@yandex.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>МГИМО МИД России</institution><country>Россия</country></aff><aff xml:lang="en"><institution>MGIMO University</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Финансовый университет при Правительстве Российской Федерации</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Financial University under the Government of the Russian Federation</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>03</day><month>11</month><year>2025</year></pub-date><volume>18</volume><issue>5</issue><fpage>165</fpage><lpage>177</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Ревенко Л.С., Ревенко Н.С., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Ревенко Л.С., Ревенко Н.С.</copyright-holder><copyright-holder xml:lang="en">Revenko L.S., Revenko N.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://etl.fa.ru/jour/article/view/393">https://etl.fa.ru/jour/article/view/393</self-uri><abstract><p>Предмет исследования – причины, предпосылки и состояние регулирования искусственного интеллекта (ИИ) в многосторонних форматах. Цель работы – выявить подходы к регулированию ИИ на многостороннем уровне и проанализировать текущий статус регуляторного процесса. Актуальность обусловлена быстрым развитием технологий ИИ и сопровождающими этот процесс всевозможными рисками. Методология исследования включает использование общенаучных методов, а именно: статистических и экспертных оценок, анализ эмпирических данных, классификацию, структурирование и систематизацию объектов. В результате исследования определен уровень мирового рынка технологий ИИ, выявлены концептуальные подходы к многостороннему регулированию в различных структурах. Рассмотрены основные направления регулирования ИИ в рамках деятельности международных организаций (ООН, ОЭСР, Совет Европы, ВТО), ЕС и объединений неинтеграционного типа, а также неформальных дискуссионных клубов (Хиросимский процесс, Глобальное партнерство по ИИ). Сделан вывод о том, что, несмотря на массу решений и документов, разрабатываемых в многосторонних форматах, «правила игры» для разработчиков и распространителей ИИ отстают от развития технологий в этой сфере. Установлено, что решения, принимаемые на многостороннем уровне, не носят обязательного характера для субъектов мировой экономики за исключением нормативных актов интеграционных группировок. Отмечен рост регуляторной активности международных структур в последние годы в связи с повышением уровня коммерциализации технологий ИИ, а также инновационных товаров, произведенных с использованием ИИ или содержащих его в качестве неотъемлемой части. Обозначена роль многостороннего регулирования ИИ в формировании тенденций развития мировой экономики.</p></abstract><trans-abstract xml:lang="en"><p>The subject of the research is the causes, prerequisites and the state of regulation of artificial intelligence (AI) in multilateral formats. The aim of the work is to identify approaches to AI regulation at the multilateral level and analyze the current status of the regulatory process. The relevance is due to the rapid development of AI technologies and the various risks associated with this process. The research methodology includes the use of general scientific methods, namely statistical and expert assessments, analysis of empirical data, classification, structuring and systematization of objects. As a result of the research, the level of the global AI technology market has been determined, and conceptual approaches to multilateral regulation in various structures have been identified. The main directions of AI regulation within the framework of international organizations (UN, OECD, Council of Europe, and WTO), the EU and non-integration type associations, as well as informal discussion clubs (Hiroshima Process, Global Partnership on AI) are considered. It is concluded that despite the mass of solutions and documents being developed in multilateral formats, the «rules of the game» for AI developers and distributors lag behind the development of technologies in this area. It has been established that decisions taken at the multilateral level are not binding on subjects of the global economy, with the exception of regulatory acts of integration groupings. There has been an increase in the regulatory activity of international structures in recent years due to an increase in the level of commercialization of AI technologies, as well as innovative products produced using AI or containing it as an integral part. The role of multilateral regulation of AI in shaping global economic development trends is outlined.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>искусственный интеллект</kwd><kwd>цифровизация</kwd><kwd>регулирование</kwd><kwd>многосторонний формат</kwd><kwd>ООН</kwd><kwd>ОЭСР</kwd><kwd>Совет Европы</kwd><kwd>ВТО</kwd><kwd>ЕС</kwd><kwd>Хиросимский процесс</kwd><kwd>Глобальное партнерство по ИИ</kwd></kwd-group><kwd-group xml:lang="en"><kwd>artificial intelligence</kwd><kwd>digitalization</kwd><kwd>regulation</kwd><kwd>multilateral format</kwd><kwd>UN</kwd><kwd>OECD</kwd><kwd>Council of Europe</kwd><kwd>WTO</kwd><kwd>EU</kwd><kwd>Hiroshima Process</kwd><kwd>Global Partnership on AI</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">Информационно-коммуникационные технологии для глобального мира. Мельникова О. А., ред. М.: Издательство «Аспект Пресс»; 2024. 542 с.</mixed-citation><mixed-citation xml:lang="en">Information and Communication Technologies for Global World. Melnikova, O.A., ed. Moscow: Aspekt Press Publ.; 2024. 542 p. (In Russ.).</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Taeihagh A. Governance of Generative AI. Policy and Society. 2025;00(00):1–22. DOI: 10.1093/polsoc/puaf001</mixed-citation><mixed-citation xml:lang="en">Taeihagh A. Governance of Generative AI. Policy and Society. 2025;00(00):1–22. DOI: 10.1093/polsoc/puaf001</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Chesterman S. Good Models Borrow, Great Models Steal: Intellectual Property Rights and Generative AI. Policy and Society. 2025;44(1):23–37. DOI: 10.1093/polsoc/puae006</mixed-citation><mixed-citation xml:lang="en">Chesterman S. Good Models Borrow, Great Models Steal: Intellectual Property Rights and Generative AI. Policy and Society. 2025;44(1):23–37. DOI: 10.1093/polsoc/puae006</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Marr B. The 15 Biggest risks of artificial intelligence. June 2, 2023. URL: https://www.forbes.com/sites/bernardmarr/2023/06/02/the-15-biggest-risks-of-artificial-intelligence/.</mixed-citation><mixed-citation xml:lang="en">Marr B. The 15 Biggest risks of artificial intelligence. June 2, 2023. URL: https://www.forbes.com/sites/bernardmarr/2023/06/02/the-15-biggest-risks-of-artificial-intelligence/.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Haan К., Holznienkemper L. 22 Top AI statistics and trends. October 16, 2024. URL: https://www.forbes.com/advisor/business/ai-statistics/</mixed-citation><mixed-citation xml:lang="en">Haan К., Holznienkemper L. 22 Top AI statistics and trends. October 16, 2024. URL: https://www.forbes.com/advisor/business/ai-statistics/</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Filippucci F., Gal P., Jona-Lasinio C., Leandro A., Nicoletti G. The impact of artificial intelligence on productivity, distribution and growth: Key mechanisms, initial evidence and policy challenges. OECD Artificial Intelligence Papers. 2024;15:1–63. URL: https://www.oecd.org/en/publications/the-impact-of-artificialintelligence-on-productivity-distribution-and-growth-8d900037-en.html.</mixed-citation><mixed-citation xml:lang="en">Filippucci F., Gal P., Jona-Lasinio C., Leandro A., Nicoletti G. The impact of artificial intelligence on productivity, distribution and growth: Key mechanisms, initial evidence and policy challenges. OECD Artificial Intelligence Papers. 2024;15:1–63. URL: https://www.oecd.org/en/publications/the-impact-of-artificialintelligence-on-productivity-distribution-and-growth-8d900037-en.html.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Neznamov A. V. Impact of the concept of “Technoscience” on the genesis features of the legal regulation of artificial intelligence and robotics technology. State and Law. 2022;3:108–116. DOI: 10.31857/S102694520019169–6</mixed-citation><mixed-citation xml:lang="en">Neznamov A. V. Impact of the concept of “Technoscience” on the genesis features of the legal regulation of artificial intelligence and robotics technology. State and Law. 2022;3:108–116. DOI: 10.31857/S102694520019169–6</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Современная система международных экономических отношений: между глобализацией и фрагментацией. Исаченко Т. М., Платонова И. Н., Ревенко Л. С., ред. М.: КНОРУС; 2025. 218 с.</mixed-citation><mixed-citation xml:lang="en">Current system of international economic relations: Between globalization and fragmentation. Isachenko T. M., Platonova I. N., Revenko, L.S., eds. Moscow: KNORUS Publ.; 2025. 218 p. (In Russ.).</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Gutierrez C. I., Marchant G. A Global perspective of soft law programs for the governance of artificial intelligence. Phoenix: Sandra Day O’Connor College of Law, Arizona State University, AZ; 2021. 62 p.</mixed-citation><mixed-citation xml:lang="en">Gutierrez C. I., Marchant G. A Global perspective of soft law programs for the governance of artificial intelligence. Phoenix: Sandra Day O’Connor College of Law, Arizona State University, AZ; 2021. 62 p.</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Buiten M. C. Towards intelligent regulation of artificial intelligence. European Journal of Risk Regulation. 2019;10(1):41–59. DOI: 10.1017/err.2019.8</mixed-citation><mixed-citation xml:lang="en">Buiten M. C. Towards intelligent regulation of artificial intelligence. European Journal of Risk Regulation. 2019;10(1):41–59. DOI: 10.1017/err.2019.8</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Kaplan A., Haenlein M. Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons. 2019;62(1):15–25. DOI: 10.1016/j.bushor.2018.08.004</mixed-citation><mixed-citation xml:lang="en">Kaplan A., Haenlein M. Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons. 2019;62(1):15–25. DOI: 10.1016/j.bushor.2018.08.004</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Papagiannidis E., Mikalef P., Conboy K. Responsible Artificial intelligence governance: A review and research framework. Journal of Strategic Information Systems. 2025;34:101885. DOI: 10.1016/j.jsis.2024.101885</mixed-citation><mixed-citation xml:lang="en">Papagiannidis E., Mikalef P., Conboy K. Responsible Artificial intelligence governance: A review and research framework. Journal of Strategic Information Systems. 2025;34:101885. DOI: 10.1016/j.jsis.2024.101885</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Domin H.AI Governance trends: How regulation, collaboration and skills demand are shaping the industry. September 5, 2024. URL: https://www.weforum.org/stories/2024/09/ai-governance-trends-to-watch/.</mixed-citation><mixed-citation xml:lang="en">Domin H.AI Governance trends: How regulation, collaboration and skills demand are shaping the industry. September 5, 2024. URL: https://www.weforum.org/stories/2024/09/ai-governance-trends-to-watch/.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Linkov I., Trump B. D., Poinsatte-Jones K., Florin M–V. Governance Strategies for a sustainable digital world. Sustainability. 2018;10:440. DOI: 10.3390/su10020440</mixed-citation><mixed-citation xml:lang="en">Linkov I., Trump B. D., Poinsatte-Jones K., Florin M–V. Governance Strategies for a sustainable digital world. Sustainability. 2018;10:440. DOI: 10.3390/su10020440</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Marchant G. “Soft Law” governance of artificial intelligence. UCLA: The Program on Understanding Law, Science, and Evidence (PULSE). 2019:1–19. URL: https://escholarship.org/uc/item/0jq252ks</mixed-citation><mixed-citation xml:lang="en">Marchant G. “Soft Law” governance of artificial intelligence. UCLA: The Program on Understanding Law, Science, and Evidence (PULSE). 2019:1–19. URL: https://escholarship.org/uc/item/0jq252ks</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Carlisle K., Gruby R. K. Polycentric systems of governance: A theoretical model for the commons. Policy Studies Journal. 2019;47(4):927–952. DOI: 10.1111/psj.12212</mixed-citation><mixed-citation xml:lang="en">Carlisle K., Gruby R. K. Polycentric systems of governance: A theoretical model for the commons. Policy Studies Journal. 2019;47(4):927–952. DOI: 10.1111/psj.12212</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Ulnicane I. Governance fix? Power and politics in controversies about governing generative AI. Policy and Society. 2025;44(1):70–84. DOI: 10.1093/polsoc/puae022</mixed-citation><mixed-citation xml:lang="en">Ulnicane I. Governance fix? Power and politics in controversies about governing generative AI. Policy and Society. 2025;44(1):70–84. DOI: 10.1093/polsoc/puae022</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Morandín-Ahuerma F. Principios normativos para una ética de la inteligencia artificial. Puebla, México: Consejo de Ciencia y Tecnología de Puebla (CONCYTEP); 2023. 212 p.</mixed-citation><mixed-citation xml:lang="en">Morandín-Ahuerma F. Principios normativos para una ética de la inteligencia artificial. Puebla, México: Consejo de Ciencia y Tecnología de Puebla (CONCYTEP); 2023. 212 p.</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Yeung K. Introductory note to recommendation of the council on artificial intelligence (OECD). American Journal in International Law. 2020;59(1):27–34. DOI: 10.1017/ilm.2020.5</mixed-citation><mixed-citation xml:lang="en">Yeung K. Introductory note to recommendation of the council on artificial intelligence (OECD). American Journal in International Law. 2020;59(1):27–34. DOI: 10.1017/ilm.2020.5</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Takemi A. Global AI Governance and Japan’s science diplomacy: The G7 Hiroshima AI Process and its global implications. September 01, 2024. URL: https://ssrn.com/abstract=5121469. DOI: 10.2139/ssrn.5121469</mixed-citation><mixed-citation xml:lang="en">Takemi A. Global AI Governance and Japan’s science diplomacy: The G7 Hiroshima AI Process and its global implications. September 01, 2024. URL: https://ssrn.com/abstract=5121469. DOI: 10.2139/ssrn.5121469</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Habuka H., Socol de la Osa D. U. Enhancements and next steps for the G7 Hiroshima AI Process: Toward a common framework to advance human rights, democracy and rule of law. Cambridge Forum for AI: Law and Governance. 2025;1(e15):1–26. DOI: 10.1017/cfl.2024.5</mixed-citation><mixed-citation xml:lang="en">Habuka H., Socol de la Osa D. U. Enhancements and next steps for the G7 Hiroshima AI Process: Toward a common framework to advance human rights, democracy and rule of law. Cambridge Forum for AI: Law and Governance. 2025;1(e15):1–26. DOI: 10.1017/cfl.2024.5</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Chang C–C.K. The first global AI treaty: Analyzing the framework convention on artificial intelligence and the EU AI Act. University of Illinois Law Review. 2024;86:86–99. DOI: 10.2139/ssrn.5069335</mixed-citation><mixed-citation xml:lang="en">Chang C–C.K. The first global AI treaty: Analyzing the framework convention on artificial intelligence and the EU AI Act. University of Illinois Law Review. 2024;86:86–99. DOI: 10.2139/ssrn.5069335</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Sekine T. EU’s AI regulation and international economic law: The Complex impact of the EU AI Act on global economic governance. SSRN Electronic Journal. 2024; October:1–42. DOI: 10.2139/ssrn.4997043</mixed-citation><mixed-citation xml:lang="en">Sekine T. EU’s AI regulation and international economic law: The Complex impact of the EU AI Act on global economic governance. SSRN Electronic Journal. 2024; October:1–42. DOI: 10.2139/ssrn.4997043</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">López-González J., Sorescu S., Kaynak P. Of Bytes and Trade: Quantifying the Impact of ditalisation on trade. OECD Trade Policy Paper № . TAD/TC/WP(2022)11/FINAL. Paris: OECD; 2023. 57 p. URL: https://one.oecd.org/document/TAD/TC/WP(2022)11/FINAL/en/pdf</mixed-citation><mixed-citation xml:lang="en">López-González J., Sorescu S., Kaynak P. Of Bytes and Trade: Quantifying the Impact of ditalisation on trade. OECD Trade Policy Paper № . TAD/TC/WP(2022)11/FINAL. Paris: OECD; 2023. 57 p. URL: https://one.oecd.org/document/TAD/TC/WP(2022)11/FINAL/en/pdf</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Krause D. The EU AI Act and the future of AI governance: Implications for U.S. firms and policymakers. SSRN Electronic Journal. 2025; March:1–29. DOI: 10.2139/ssrn.5181797</mixed-citation><mixed-citation xml:lang="en">Krause D. The EU AI Act and the future of AI governance: Implications for U.S. firms and policymakers. SSRN Electronic Journal. 2025; March:1–29. DOI: 10.2139/ssrn.5181797</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
