Incorporating artificial intelligence (AI) into recruitment processes: ethical considerations

Zuzana Sýkorová, Dana Hague, Ondřej Dvouletý and David Anthony Procházka

Vilakshan - XIMB Journal of Management, 2024, vol. 21, issue 2, 293-307

Abstract: Purpose - This study aims to explore the implementation of artificial intelligence (AI) into recruitment by considering its potential to maximize the effectiveness of the human resources (HR) processes, challenges associated with the implementation, and ethical concerns. Design/methodology/approach - A qualitative research approach was used to reach the stated objectives within the context of the small open economy – the Czech Republic. Interviews were conducted with four participants, Czech-based recruiters, each with five or more years of experience in their field. The interviews were conducted in Autumn 2023 within the online platform. The answers were transcribed and thematically analyzed. Findings - The participants who were interviewed heavily emphasized the importance of the role of the human factor in recruitment, yet several observations and insights were obtained. In particular, some interviewees indicated a possible usage of a chatbot for the first round of the candidates' selection, but they see it as problematic in the final decision on the position fulfilment, where the human factor is not replaceable so far. The key ethical challenges of the broader implementation of AI in the recruitment practices of the respondents remain the risks regarding privacy and data protection, especially the General Data Protection Regulation (GDPR) legislation. Originality/value - This article delivers pertinent insights for recruiters on using AI in recruitment, bringing forth a more subtle understanding of the faceted subject of AI-based recruitment.

Keywords: Artificial intelligence (AI); AI-based recruitment; Ethics; Human resources; J29; O15 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eme:xjmpps:xjm-02-2024-0039

DOI: 10.1108/XJM-02-2024-0039

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