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 overcome human errors by comparing theoretical convergences among the various approaches and platforms addressed to companies. A brief study of limits, risks, as well as managerial and business implications linked to the the use of AITs in HRM will be also investigated.
The Unbiased Hiring? A critical analysis of Artificial Intelligence in e- HRM: the case of Pymetrics
PInna R.;
2018-01-01
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 overcome human errors by comparing theoretical convergences among the various approaches and platforms addressed to companies. A brief study of limits, risks, as well as managerial and business implications linked to the the use of AITs in HRM will be also investigated.
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