Customized Artificial Intelligence for Talent Recruiting: A Bias-Free Tool?

Eleonora Veglianti (), Matteo Trombin, Roberta Pinna and Marco Marco
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Eleonora Veglianti: FGES, Université Catholique di Lille
Matteo Trombin: University Uninettuno
Roberta Pinna: University of Cagliari
Marco Marco: University Uninettuno

A chapter in Smart Technologies for Organizations, 2023, pp 245-261 from Springer

Abstract: Abstract In recent years, technological innovations in e-recruitment systems have seen an explosive expansion, allowing Human Resource professionals to find the talents who are supposed to be the most suitable to their organizations. In particular, the purpose of this paper is to explore the contribution that Artificial Intelligence Technologies can give in order to increase the efficiency of the recruitment process and overcome human errors, by comparing theoretical convergences among the various approaches and platforms addressed to companies. A case study was conducted to explore the research questions of this study. A brief study of limits, risks, as well as managerial and business implications linked to the use of AITs in HRM will be also conducted.

Keywords: Talent acquisition; Gamification; AI in recruitment process; Predictability; Bias (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-031-24775-0_15

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DOI: 10.1007/978-3-031-24775-0_15

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