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Artificial Intelligence in International Human Resource Management

Authors

Linda Thornhill

Godbold College of Business, Gardner-Webb University, Boiling Springs (United States)

Article Information

DOI: 10.51244/IJRSI.2026.1305000011

Subject Category: Computer Science

Volume/Issue: 13/5 | Page No: 112-120

Publication Timeline

Submitted: 2026-04-24

Accepted: 2026-04-30

Published: 2026-05-21

Abstract

Artificial intelligence is increasingly deployed in human resource management to enhance candidate selection and streamline recruitment processes. However, significant questions remain regarding the reliability and consistency of artificial intelligence-driven interview systems compared to traditional human resource management evaluations. Given the potential for intentional or unintentional bias in AI algorithms, there is a critical need to evaluate whether electronic interview systems produce candidate selections comparable to those of human evaluators when assessing a shared applicant pool.
This research employs a comparative evaluation methodology to assess multiple electronic human resource information systems (HRIS) and their effectiveness in candidate selection. A comparison of the top 10 selections generated by various AI-driven interview platforms with those made by experienced human resource managers was conducted using a standardized pool of candidates. I examine the degree of overlap in candidate rankings and analyze patterns of disparity that may indicate systemic bias or inconsistency in artificial intelligence algorithms.

Keywords

Artificial intelligence, ethics, decision making, human resource management

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References

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