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Would you like to have your social skills assessed by a softbot?: AI-supported recruitment processes
Mid Sweden University, Faculty of Science, Technology and Media, Department of Computer and System Science. (CER)ORCID iD: 0000-0003-1984-7917
Mid Sweden University, Faculty of Science, Technology and Media, Department of Computer and System Science.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Computer and System Science.
2022 (English)In: 4th European Conference on the Impact of Artificial Intelligence and Robotics / [ed] Paul Griffiths and Caroline Stockman, ACI Academic Conferences International, 2022, Vol. 4, p. 64-71Conference paper, Published paper (Refereed)
Abstract [en]

In parallel with the increased use of Artificial Intelligence (AI) in recruitment processes, there is also an ongoing discussion on the dehumanisation in automatised recruitment. On one hand AI-based recruitment have a potential to reduce the human bias, on the other hand there are parts of the process that still needs a human judgement. Another concern is that the identified dehumanisation could harm the relationship between employees and employers. Research indicates that AI-based technologies definitely have the potential to increase the efficiency of the recruitment process by replacing humans in time-consuming tasks. Less research as been conducted on the human perceptions about AI-based recruitment. In a time when AI-based recruitment tools are used in a rapidly increasing number of companies and organisations, it is important to better explore the human side of the process. Therefore, this paper investigates: What are the perceptions of the candidate conditions in automatised and AI-based recruitment processes? This study was conducted with a qualitative approach with data gathered from candidates and recruiters that all had experiences from AI-based recruitment processes. Four candidates and two recruiters were chosen with the idea of a purposive sampling. Answers from six audio recorded semi-structured interviews were categorised in a deductive thematic analysis. The theoretic lens for the study was the Model of Applicant Reaction to Selection. Findings showed that the respondents had a negative attitude towards the dehumanised recruitment process. The most obvious finding was the general critique towards the AI-based assessment of candidates' social skills. At the same time, the majority of the respondents agreed on that AI-based recruitment tools have a potential to make time-consuming administrative tasks more efficient. Only one respondent was willing to go through a completely AI-based recruitment process, and all respondents pointed out different ways in which the recruitment tools need to be improved. The conclusion is that the AI-based recruitment tools must be made more transparent and used as a support for decision-making rather than being the decision maker. The recommendation is a hybrid solution, where AI-based tools are used to assist and create the basis for well-informed human decisions.

Place, publisher, year, edition, pages
ACI Academic Conferences International, 2022. Vol. 4, p. 64-71
Keywords [en]
Recruitment process, Recruitment tools, Artificial Intelligence, Dehumanisation, Model of Applicant Reaction to Selection
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:miun:diva-46754DOI: 10.34190/eciair.4.1.926OAI: oai:DiVA.org:miun-46754DiVA, id: diva2:1722691
Conference
ECIAIR 2022
Available from: 2022-12-30 Created: 2022-12-30 Last updated: 2023-01-31Bibliographically approved

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Mozelius, Peter

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