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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">SSR</journal-id><journal-title-group><journal-title>Scientific and Social Research</journal-title></journal-title-group><issn>2661-4332</issn><eissn>2981-9946</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/ssr.v6i2.6231</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>The Application and Challenges of Artificial Intelligence in Recruitment Interviews</title><url>https://artdesignp.com/journal/SSR/6/2/10.26689/ssr.v6i2.6231</url><author>LiuGuanlin,OuyangZhaoyong,ShaLina,KhBattsengel</author><pub-date pub-type="publication-year"><year>2024</year></pub-date><volume>6</volume><issue>2</issue><history><date date-type="pub"><published-time>2024-02-26</published-time></date></history><abstract>In the wake of rapid technological advancements, artificial intelligence (AI) has found widespread application across numerous sectors, including the recruitment industry. This study conducts a comprehensive examination of AI’s current application in recruitment interviews, underscoring the necessity for proactive collaboration between AI and human experts in practice. This approach is aimed at harnessing AI’s strengths in data processing and human’s adeptness in emotional cognition, to jointly drive innovation and progression in recruitment interview techniques. Additionally, the study analyzes the myriad challenges presented by this integration and envisages potential future directions for development. The in-depth analyses and proposed directions for improvement presented in this study are intended to guide practitioners in the recruitment industry and serve as a research foundation and inspiration for future scholars in the fields of artificial intelligence technology and human resource management.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Yang Y, 2023, Research on the Informatization Path of Human Resources Management and Service in Public Institutions. Modern Economic Management, 4(3): 76–78.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Skalfist P, Mikelsten D, Teigens V, 2022, Artificial Intelligence: The Fourth Industrial Revolution. Cambridge Stanford Books, Cambridge.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Wang Y, 2023, Privacy Rights and Legal Protection of Data in the Digital Era. Open Journal of Legal Science, 11: 5684.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>World Health Organization, 2020, The WHO Transformation: 2020 Progress Report, https://iris.who.int/bitstream/handle/10665/341368/9789240026667-eng.pdf?sequence=1</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Pei J, Liu S, Zhong C, et al., 2021, Can AI Algorithm Decision-Making Improve Employees’ Perception of Procedural Fairness?. Foreign Economics and Management, 43(11): 41–55.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
