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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">scires</journal-id><journal-title-group><journal-title xml:lang="ru">Научные исследования экономического факультета. Электронный журнал</journal-title><trans-title-group xml:lang="en"><trans-title>Scientific Research of Faculty of Economics. Electronic Journal</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2078-3809</issn><publisher><publisher-name>Moscow State University</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.38050/2078-3809-2025-17-3-123-148</article-id><article-id custom-type="elpub" pub-id-type="custom">scires-403</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>ЭКОНОМИКА ИННОВАЦИЙ И РАЗВИТИЕ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ECONOMY OF INNOVATION AND DEVELOPMENT</subject></subj-group></article-categories><title-group><article-title>Решение проблем управления: власть и политика в спорах об управлении генеративным ИИ</article-title><trans-title-group xml:lang="en"><trans-title>Governance fix? Power and politics in controversies about governing generative AI</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Улникейн</surname><given-names>И.</given-names></name><name name-style="western" xml:lang="en"><surname>Ulnicane</surname><given-names>I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Инга Улникейн</p><p>Эджбастон, г. Бирмингем</p></bio><bio xml:lang="en"><p>Inga Ulnicane</p><p>Edgbaston, Birmingham B15 2TT</p></bio><email xlink:type="simple">i.ulnicane@bham.ac.uk</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Белецкая</surname><given-names>М. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Beletskaya</surname><given-names>M. Yu.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Перевод с англ. Белецкая Мария Юрьевна, кандидат экономических наук, старший научный сотрудник, экономический факультет</p><p>г. Москва</p></bio><bio xml:lang="en"><p>Trans. from Eng. Maria Yu. Beletskaya, Candidate of Economic Science, Senior Researcher, Faculty of Economics</p><p>Moscow</p></bio><email xlink:type="simple">mybeletskaya@gmail.com</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Бирмингемский университет</institution><country>Великобритания</country></aff><aff xml:lang="en"><institution>University of Birmingham</institution><country>United Kingdom</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>МГУ имени М.В. Ломоносова;&#13;
Институт Соединенных Штатов Америки и Канады имени академика Г.А. Арбатова РАН</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Lomonosov Moscow State 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>16</day><month>11</month><year>2025</year></pub-date><volume>17</volume><issue>3</issue><fpage>123</fpage><lpage>148</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Улникейн И., Белецкая М.Ю., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Улникейн И., Белецкая М.Ю.</copyright-holder><copyright-holder xml:lang="en">Ulnicane I., Beletskaya M.Y.</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://scires.elpub.ru/jour/article/view/403">https://scires.elpub.ru/jour/article/view/403</self-uri><abstract><p>Запуск ChatGPT в конце 2022 г. привел к серьезным спорам об управлении генеративным искусственным интеллектом (ИИ). В этой статье рассматриваются первые международные инициативы в области управления и политики, специально посвященные генеративному ИИ: Хиросимский процесс «Большой семерки» (G7), отчеты Организации экономического сотрудничества и развития и саммит по безопасности ИИ в Великобритании. Этот анализ основан на литературе по разработке политики в области управления, в частности на работах по управлению технологиями и ответственным инновациям. Формирующееся управление генеративным ИИ демонстрирует полицентрические характеристики, где множественные и пересекающиеся центры принятия решений находятся в отношениях сотрудничества. Однако в нем доминирует ограниченное число развитых стран. Управление генеративным ИИ в основном сформулировано с точки зрения управления рисками, во многом игнорируя вопросы цели и направления инноваций и отводя довольно ограниченные роли общественности. Мы можем наблюдать возникновение «парадокса управления генеративным ИИ», а именно, как несмотря на то, что эта технология широко используется общественностью, ее управление довольно ограниченное. В этой статье вводится термин «управленческое решения», чтобы отразить этот довольно узкий и технократический подход к управлению генеративным ИИ. В качестве альтернативы предлагается принять политику полицентричного управления и ответственных инноваций, которые подчеркивают демократическое и совместное формирование технологий для общественного блага. В контексте крайне неравномерного распределения влияния в генеративном ИИ, характеризующегося высокой концентрацией власти в руках небольшого числа крупных технологических компаний, правительство играет особую роль в изменении дисбаланса сил путем обеспечения широкого участия общественности в управлении генеративным ИИ.</p></abstract><trans-abstract xml:lang="en"><p>The launch of ChatGPT in late 2022 led to major controversies about the governance of generative artificial intelligence (AI). This article examines the first international governance and policy initiatives dedicated specifically to generative AI: the G7 Hiroshima process, the Organisation for Economic Cooperation and Development reports, and the UK AI Safety Summit. This analysis is informed by policy framing and governance literature, in particular by the work on technology governance and Responsible Innovation. Emerging governance of generative AI exhibits characteristics of polycentric governance, where multiple and overlapping centers of decision-making are in collaborative relationships. However, it is dominated by a limited number of developed countries. The governance of generative AI is mostly framed in terms of the risk management, largely neglecting issues of purpose and direction of innovation, and assigning rather limited roles to the public. We can see a "paradox of generative AI governance” emerging, namely, that while this technology is being widely used by the public, its governance is rather narrow. This article coins the term "governance fix” to capture this rather narrow and technocratic approach to governing generative AI. As an alternative, it suggests embracing the politics of polycentric governance and Responsible Innovation that highlight democratic and participatory coshaping of technology for social benefit. In the context of the highly unequal distribution of power in generative AI characterized by a high concentration of power in a small number of large tech companies, the government has a special role in reshaping the power imbalances by enabling wide-ranging public participation in the governance of generative AI.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>генеративный ИИ</kwd><kwd>управление</kwd><kwd>искусственный интеллект</kwd><kwd>ответственные инновации</kwd><kwd>риск</kwd></kwd-group><kwd-group xml:lang="en"><kwd>generative AI</kwd><kwd>governance</kwd><kwd>artificial intelligence</kwd><kwd>responsible innovation</kwd><kwd>risk</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">Aguerre C., Campbell-Verduyn M., Scholte J.A. Global digital data governance: Polycentric perspectives. 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