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.

Details

Title
Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda
Author
Hunkenschroer, Anna Lena 1   VIAFID ORCID Logo  ; Luetge, Christoph 1 

 Technical University of Munich, Chair of Business Ethics, Munich, Germany (GRID:grid.6936.a) (ISNI:0000000123222966) 
Pages
977-1007
Publication year
2022
Publication date
Jul 2022
Publisher
Springer Nature B.V.
ISSN
01674544
e-ISSN
15730697
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2685225731
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.