A Bridge Too Far: Signalling Effects of Artificial Intelligence Evaluation of Job Interviews

ABSTRACT Deploying Artificial Intelligence (AI) for job interview evaluations, while a potential signal of high innovativeness, may risk suggesting poor people orientation on the part of the organisation. This study utilizes an experimental methodology to investigate whether AI evaluation (AIE) is interpreted as a positive (high innovativeness) or negative (low people orientation) signal by the job applicant, and whether the ensuing effects on attitudes towards the organisation depend on the type of organization implementing the technology. Results indicate that AIE is interpreted more strongly as a signal of how the organisation treats people rather than of how innovative it is. Additionally, removing humans from the selection process appears to be a ‘bridge too far’, when it comes to technological advances in the selection process.

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Publication Details

Journal
International Journal of Selection and Assessment
Published
2025-03-17
DOI
https://doi.org/10.1111/ijsa.70008
Citations
3
Primary Topic
Employer Branding and e-HRM
Type
article
Field-Weighted Citation Impact
8.29
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article

A Bridge Too Far: Signalling Effects of Artificial Intelligence Evaluation of Job Interviews

Jbid Arsenyan, Agata Mirowska
3 citations
International Journal of Selection and Assessment
Employer Branding and e-HRM
8.29
article

A Bridge Too Far: Signalling Effects of Artificial Intelligence Evaluation of Job Interviews

Jbid Arsenyan, Agata Mirowska
article en
3 citations

Abstract

ABSTRACT Deploying Artificial Intelligence (AI) for job interview evaluations, while a potential signal of high innovativeness, may risk suggesting poor people orientation on the part of the organisation. This study utilizes an experimental methodology to investigate whether AI evaluation (AIE) is interpreted as a positive (high innovativeness) or negative (low people orientation) signal by the job applicant, and whether the ensuing effects on attitudes towards the organisation depend on the type of organization implementing the technology. Results indicate that AIE is interpreted more strongly as a signal of how the organisation treats people rather than of how innovative it is. Additionally, removing humans from the selection process appears to be a ‘bridge too far’, when it comes to technological advances in the selection process.

International Journal of Selection and AssessmentVol. 33(2)
NEOMA Business School (FR), École Supérieure de Commerce de Rennes (FR)
Openalex Percentile: Top 3%
Employer Branding and e-HRM
8.29
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