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<article article-type="research-article" dtd-version="1.2" xml:lang="ru" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><front><journal-meta><journal-id journal-id-type="issn">2408-9338</journal-id><journal-title-group><journal-title>Research result. Sociology and Management</journal-title></journal-title-group><issn pub-type="epub">2408-9338</issn></journal-meta><article-meta><article-id pub-id-type="doi">10.18413/2408-9338-2025-11-3-1-2.</article-id><article-id pub-id-type="publisher-id">3893</article-id><article-categories><subj-group subj-group-type="heading"><subject>SOCIAL STRUCTURE, SOCIAL INSTITUTES AND PROCESSES</subject></subj-group></article-categories><title-group><article-title>&lt;strong&gt;Innovative potential and risks of human-centered interaction between young employees and AI Assistants&lt;/strong&gt;</article-title><trans-title-group xml:lang="en"><trans-title>&lt;strong&gt;Innovative potential and risks of human-centered interaction between young employees and AI Assistants&lt;/strong&gt;</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Skorokhod</surname><given-names>Olga Александровна</given-names></name><name xml:lang="en"><surname>Skorokhod</surname><given-names>Olga</given-names></name></name-alternatives></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Litash-Sorokina</surname><given-names>Elena Александровна</given-names></name><name xml:lang="en"><surname>Litash-Sorokina</surname><given-names>Elena</given-names></name></name-alternatives></contrib></contrib-group><pub-date pub-type="epub"><year>2025</year></pub-date><volume>11</volume><issue>3</issue><fpage>0</fpage><lpage>0</lpage><self-uri content-type="pdf" xlink:href="/media/sociology/2025/3/203-217_статья_Скороход_Литаш-Сорокина.pdf" /><abstract xml:lang="ru"><p>This article explores the possibilities and prospects of applying artificial intelligence in professional activities through the paradigm of human-centeredness. AI assistants, built on the principles of human-centricity and efficiency, can serve as an innovative potential for young employees in the context of digital transformation. The research problem lies in the fact that the &amp;ldquo;Human-AI Assistant&amp;rdquo; interaction exhibits the following issues: insufficient emotional engagement of users, risks of digital dependency among young employees, and distrust in algorithmic AI solutions. All this creates the need to adapt to new forms of interaction between young employees and AI assistants based on collaboration and collegial relationships. The purpose of the article is to examine the innovative potential and risks of young employees&amp;#39; interaction with AI assistants, grounded in human-centered values. The study&amp;#39;s findings indicate that modern AI assistants demonstrate a relatively high alignment with human-centered criteria (personalization, security, interface usability, etc.). However, limitations were identified in the development of emotional intelligence, as well as risks of professional deformation among young specialists. The authors conclude that successful interaction with AI assistants is possible under the following conditions: enhancing their emotional and communicative capabilities, increasing the transparency of AI algorithms, implementing adaptation programs for young professionals to work with AI, and maintaining a synergistic balance between technology and human-centered values.</p></abstract><trans-abstract xml:lang="en"><p>This article explores the possibilities and prospects of applying artificial intelligence in professional activities through the paradigm of human-centeredness. AI assistants, built on the principles of human-centricity and efficiency, can serve as an innovative potential for young employees in the context of digital transformation. The research problem lies in the fact that the &amp;ldquo;Human-AI Assistant&amp;rdquo; interaction exhibits the following issues: insufficient emotional engagement of users, risks of digital dependency among young employees, and distrust in algorithmic AI solutions. All this creates the need to adapt to new forms of interaction between young employees and AI assistants based on collaboration and collegial relationships. The purpose of the article is to examine the innovative potential and risks of young employees&amp;#39; interaction with AI assistants, grounded in human-centered values. The study&amp;#39;s findings indicate that modern AI assistants demonstrate a relatively high alignment with human-centered criteria (personalization, security, interface usability, etc.). However, limitations were identified in the development of emotional intelligence, as well as risks of professional deformation among young specialists. The authors conclude that successful interaction with AI assistants is possible under the following conditions: enhancing their emotional and communicative capabilities, increasing the transparency of AI algorithms, implementing adaptation programs for young professionals to work with AI, and maintaining a synergistic balance between technology and human-centered values.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>artificial intelligence</kwd><kwd>AI</kwd><kwd>AI assistants</kwd><kwd>human-centric management</kwd><kwd>digital workplace transformation</kwd><kwd>young professionals</kwd><kwd>organizational adaptation</kwd></kwd-group><kwd-group xml:lang="en"><kwd>artificial intelligence</kwd><kwd>AI</kwd><kwd>AI assistants</kwd><kwd>human-centric management</kwd><kwd>digital workplace transformation</kwd><kwd>young professionals</kwd><kwd>organizational adaptation</kwd></kwd-group></article-meta></front><back><ref-list><title>Список литературы</title><ref id="B1"><mixed-citation>10 glavnykh rossiyskikh HR-trendov-2025&amp;nbsp;[10 Main Russian HR Trends-2025] (2024), Collection of Information and Analytical Articles, by M.&amp;nbsp;V.&amp;nbsp;Ivanyushchenkova, V.&amp;nbsp;S. 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