FACIAL RECOGNITION TECHNOLOGY FOR RECRUITMENT IN THE RUSSIAN WORKPLACE

Maryann Asemota ()
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Maryann Asemota: National Research University Higher School of Economics

HSE Working papers from National Research University Higher School of Economics

Abstract: Facial recognition technologies demonstrate a wide range of application fields. Among them is the use of facial recognition for recruitment. This has moved from traditional face scanning to actual emotion detection with the aim of identifying the right candidate for the respective job position. The purpose of this study was to show how facial recognition technology is applied for recruitment in Russia, as well as the benefits, risks, and challenges. The paper answers the question on how the technology has been applied in or adapted to the Russian environment as well as highlighting the corresponding benefits, risks and challenges. Russian employers usually make certain changes to use this facial recognition technology for recruitment including a reduced number of interview questions as compared to a physical interview, interpreting emotions differently and combining it with physical interviews. The benefits include the possibility of checking facial expressions in order to detect emotions, analysing emotions to get information on some personality traits, analysing candidates’ interests, creating candidates’ profiles, reactions to specific questions, checking for culture fit, and finally more objectivity. Finally, the paper argues that facial recognition technology for recruitment is still at an early developing phase in Russia. There is still a lot that can be done to ensure its proper usage for recruitment.

Keywords: Facial Recognition Technology; Recruitment; Artificial Intelligence; E-HRM; Automated Interviews (search for similar items in EconPapers)
JEL-codes: Z (search for similar items in EconPapers)
Pages: 73 pages
Date: 2023
New Economics Papers: this item is included in nep-cis and nep-pay
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Published in WP BRP Series: Science, Technology and Innovation / STI, August 2023, pages 1-73

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Persistent link: https://EconPapers.repec.org/RePEc:hig:wpaper:126sti2023

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