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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">voprecotest</journal-id><journal-title-group><journal-title xml:lang="ru">Вопросы экономики</journal-title><trans-title-group xml:lang="en"><trans-title>Voprosy Ekonomiki</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">0042-8736</issn><publisher><publisher-name>Voprosy Ekonomiki, NP</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.32609/0042-8736-2022-6-91-109</article-id><article-id custom-type="elpub" pub-id-type="custom">voprecotest-3871</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 ТЕХНИЧЕСКОГО ПРОГРЕССА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ECONOMICS OF INNOVATION AND TECHNOLOGICAL CHANGE</subject></subj-group></article-categories><title-group><article-title>Искусственный интеллект в общественном секторе</article-title><trans-title-group xml:lang="en"><trans-title>Artificial intelligence in the public sector</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-1448-1696</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Буклемишев</surname><given-names>О. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Buklemishev</surname><given-names>O. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Буклемишев Олег Витальевич, к. э. н., доцент экономического факультета</p><p>Москва</p></bio><bio xml:lang="en"><p>Oleg V. Buklemishev</p><p>Moscow</p></bio><email xlink:type="simple">o.buklemishev@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>МГУ имени М. В. Ломоносова</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>2022</year></pub-date><pub-date pub-type="epub"><day>08</day><month>06</month><year>2022</year></pub-date><volume>0</volume><issue>6</issue><fpage>91</fpage><lpage>109</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Voprosy Ekonomiki, NP, 2022</copyright-statement><copyright-year>2022</copyright-year><copyright-holder xml:lang="ru">Voprosy Ekonomiki, NP</copyright-holder><copyright-holder xml:lang="en">Voprosy Ekonomiki, NP</copyright-holder><license xlink:href="https://www.vopreco.ru/jour/about/submissions#copyrightNotice" xlink:type="simple"><license-p>https://www.vopreco.ru/jour/about/submissions#copyrightNotice</license-p></license></permissions><self-uri xlink:href="https://www.vopreco.ru/jour/article/view/3871">https://www.vopreco.ru/jour/article/view/3871</self-uri><abstract><p>Рассматриваются возможности применения развивающихся систем искусственного интеллекта в общественном секторе России и других стран. Отмечается, что несмотря на перспективы получения значительных выигрышей, существует ряд технических, экономических и социально-этических ограничений, связанных с внедрением искусственного интеллекта, учитывая его особенности как технологии широкого применения. Подчеркивается возрастающая ценность профессионального суждения, позволяющего использовать результаты работы искусственного интеллекта. На основе наработанных в мировой практике принципов работы с искусственным интеллектом, а также особенностей отечественного институционального устройства и доверия к нему со стороны граждан сделан вывод о необходимости осторожного подхода к использованию технологий искусственного интеллекта в приложениях российского общественного сектора. Такие практики могут не только нанести немалый вред конкретным лицам в процессе текущего функционирования отечественных институтов, но и препятствовать их преобразованиям.</p></abstract><trans-abstract xml:lang="en"><p>The article critically examines the possibilities of using steadily developing artificial intelligence systems in the public sector of foreign countries and Russia. It is noted that despite the prospects of obtaining significant gains, there are a number of technical, economic and socio-ethical limitations associated with the introduction of artificial intelligence, taking into account its features as a general purpose technology. The increasing value of professional judgment, which allows using the results of artificial intelligence, is emphasized. Based on the principles of working with artificial intelligence developed in world practice, as well as the peculiarities of the domestic institutional structure and trust in it by the citizens, a conclusion is made about the need for a cautious approach to the use of artificial intelligence technologies in applications of the Russian public sector. Such practices can not only cause considerable harm to specific individuals in the process of current functioning of domestic institutions, but also hinder their transformation.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>искусственный интеллект</kwd><kwd>машинное обучение</kwd><kwd>технология широкого применения</kwd><kwd>общественный сектор</kwd><kwd>экономическая политика</kwd></kwd-group><kwd-group xml:lang="en"><kwd>artificial intelligence</kwd><kwd>machine learning</kwd><kwd>general purpose technology</kwd><kwd>public sector</kwd><kwd>economic policy</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">Волошинская А., Комаров В. (2015). Доказательная государственная политика: проблемы и перспективы // Вестник Института экономики Российской академии наук. № 4. С. 90—102.</mixed-citation><mixed-citation xml:lang="en">Voloshinskaya A., Komarov V. (2015). 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