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

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Smart Technologies for Organizations

Part of the book series: Lecture Notes in Information Systems and Organisation ((LNISO,volume 60))

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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.

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Author information

Authors and Affiliations

  1. FGES, Université Catholique di Lille, Lille, France

    Eleonora Veglianti

  2. Department of Economics, University Uninettuno, Rome, Italy

    Matteo Trombin & Marco De Marco

  3. Department of Economics and Management, University of Cagliari, Cagliari, Italy

    Roberta Pinna

Authors
  1. Eleonora Veglianti
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  2. Matteo Trombin
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  3. Roberta Pinna
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  4. Marco De Marco
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Corresponding author

Correspondence to Eleonora Veglianti .

Editor information

Editors and Affiliations

  1. University of Neuchâtel, Neuchâtel, Switzerland

    Cinzia Dal Zotto

  2. University of Neuchâtel, Neuchâtel, Switzerland

    Afshin Omidi

  3. Saint Joseph University of Beirut, Beirut, Lebanon

    Georges Aoun

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Veglianti, E., Trombin, M., Pinna, R., De Marco, M. (2023). Customized Artificial Intelligence for Talent Recruiting: A Bias-Free Tool?. In: Dal Zotto, C., Omidi, A., Aoun, G. (eds) Smart Technologies for Organizations. Lecture Notes in Information Systems and Organisation, vol 60. Springer, Cham. https://doi.org/10.1007/978-3-031-24775-0_15

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