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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">sseu</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник Самарского государственного экономического университета</journal-title><trans-title-group xml:lang="en"><trans-title>Vestnik of Samara State University of Economics</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1993-0453</issn><publisher><publisher-name>Самарский государственный экономический университет</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.46554/1993-0453-2026-4-258-141-150</article-id><article-id custom-type="elpub" pub-id-type="custom">sseu-472</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>МЕНЕДЖМЕНТ И УПРАВЛЕНИЕ БИЗНЕСОМ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>MANAGEMENT AND BUSINESS MANAGEMENT</subject></subj-group></article-categories><title-group><article-title>Искусственный интеллект в рекрутменте: от автоматизации процессов до стратегической роли HR</article-title><trans-title-group xml:lang="en"><trans-title>Artificial intelligence in recruitment: from process automation to strategic role of HR</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>Вороной</surname><given-names>Д. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Voronoi</surname><given-names>D. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Вороной Даниил Викторович – аспирант.</p><p>Таганрог</p></bio><bio xml:lang="en"><p>Daniil V. Voronoi – postgraduate student of the Taganrog Institute of Management and Economics.</p><p>Taganrog</p></bio><email xlink:type="simple">twistedinsane96@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Таганрогский институт управления и экономики</institution></aff><aff xml:lang="en"><institution>Taganrog Institute of Management and Economics</institution></aff></aff-alternatives><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>29</day><month>04</month><year>2026</year></pub-date><volume>0</volume><issue>4</issue><fpage>141</fpage><lpage>150</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Вороной Д.В., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Вороной Д.В.</copyright-holder><copyright-holder xml:lang="en">Voronoi D.V.</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://vestnik.sseu.ru/jour/article/view/472">https://vestnik.sseu.ru/jour/article/view/472</self-uri><abstract><p>Быстрое развитие технологий искусственного интеллекта заметно меняет работу с персоналом и особенно трансформирует процессы подбора сотрудников. В исследовании представлен подробный анализ того, как ИИ влияет на современные практики рекрутинга: рассматриваются эффекты для скорости и качества найма, оптимизации затрат, повышения точности управленческих решений, а также обсуждаются связанные с этим этические риски и изменение профессиональной роли HR-специалистов. Работа основана на сочетании разных исследовательских подходов, включающих изучение научных и прикладных публикаций, анализ корпоративных кейсов российских и международных компаний и сопоставление результатов внедрения алгоритмических инструментов. Такой метод позволяет объединить теоретические положения с реальными практиками и показать конкретные последствия интеграции ИИ в процедуры отбора. В исследовании подробно рассмотрены технологии, применяемые в рекрутменте, включая системы отслеживания кандидатов, чат-ботов, автоматизированные модели анализа резюме и алгоритмы поведенческой оценки. Оценивается их влияние на ключевые показатели эффективности: сроки закрытия вакансий, стоимость найма, качество подбора и удовлетворенность соискателей. Практическая значимость работы заключается в разработке рекомендаций по ответственному и устойчивому применению ИИ в HR.</p></abstract><trans-abstract xml:lang="en"><p>The rapid development of artificial intelligence technologies is significantly changing work with staff and transforming the recruitment processes particularly. The study pro-vides a detailed analysis for how AI affects the latest recruiting practices: it examines the effects on the speed and quality of hiring, cost optimization, and increased accuracy of management decisions, as well as discusses the associated ethical risks and change of the professional role of HR specialists. The work is based on the combination of different research approaches, including the study of scientific and applied publications, the analysis for corporate cases of Russian and international companies and comparison of the results of the algorithmic tools introduction. This method allows combining theoretical provisions with real practices and demonstrates the specific consequences of integrating AI into selection procedures. The study examines the technologies used in recruitment in detail, including candidate tracking systems, chatbots, automated resume analysis models, and behavioral assessment algorithms. Their impact on key performance indicators is assessed: timing of job closures, cost of hiring, quality of recruitment, and job satisfaction. The practical significance of the work lies in the development of the recommendations for responsible and sustainable use of AI in HR.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>искусственный интеллект</kwd><kwd>рекрутмент</kwd><kwd>подбор персонала</kwd><kwd>цифровизация HR</kwd><kwd>этика ИИ</kwd><kwd>People Analytics</kwd><kwd>алгоритмическая справедливость</kwd><kwd>автоматизация HR</kwd><kwd>трансформация ролей HR</kwd><kwd>цифровая трансформация</kwd><kwd>эффективность подбора</kwd><kwd>HR-технологии</kwd></kwd-group><kwd-group xml:lang="en"><kwd>artificial intelligence</kwd><kwd>recruitment</kwd><kwd>personnel selection</kwd><kwd>HR digitalization</kwd><kwd>AI ethics</kwd><kwd>People Analytics</kwd><kwd>algorithmic justice</kwd><kwd>HR automation</kwd><kwd>HR role transformation</kwd><kwd>digital transformation</kwd><kwd>recruitment efficiency</kwd><kwd>HR technologies</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">Ganti S. 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