Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda

Anna Lena Hunkenschroer () and Christoph Luetge ()
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Anna Lena Hunkenschroer: Technical University of Munich
Christoph Luetge: Technical University of Munich

Journal of Business Ethics, 2022, vol. 178, issue 4, No 7, 977-1007

Abstract: Abstract Companies increasingly deploy artificial intelligence (AI) technologies in their personnel recruiting and selection process to streamline it, making it faster and more efficient. AI applications can be found in various stages of recruiting, such as writing job ads, screening of applicant resumes, and analyzing video interviews via face recognition software. As these new technologies significantly impact people’s lives and careers but often trigger ethical concerns, the ethicality of these AI applications needs to be comprehensively understood. However, given the novelty of AI applications in recruiting practice, the subject is still an emerging topic in academic literature. To inform and strengthen the foundation for future research, this paper systematically reviews the extant literature on the ethicality of AI-enabled recruiting to date. We identify 51 articles dealing with the topic, which we synthesize by mapping the ethical opportunities, risks, and ambiguities, as well as the proposed ways to mitigate ethical risks in practice. Based on this review, we identify gaps in the extant literature and point out moral questions that call for deeper exploration in future research.

Keywords: Artificial intelligence; Algorithmic hiring; Employee selection; Ethical recruitment; Ethics of AI; Bias of AI (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (11)

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DOI: 10.1007/s10551-022-05049-6

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