Journal of Management Research and Review (JMRR) · Research article · Open access
Artificial Intelligence in Recruitment: A Review of Efficiency Claims, Bias Risks, And the Governance Imperative for HR Practice
Mehmoona Akram, Syeda Fatima Hussain, Raja Muneeb Anwar
19 August 2026 · Vol. 2, Issue 8, pp. 640-642
DOI: 10.65150/EP-jmrr/V2E8/2026-10
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What is this article about?
Artificial intelligence has diffused rapidly through the recruitment function, from automated résumé screening and chatbot-led candidate engagement to algorithmic assessment and predictive analytics, and vendors and adopters advance strong claims about efficiency and quality-of-hire gains. Simultaneously, high-profile failures have made algorithmic hiring a focal case in debates about automated discrimination and its regulation.
Article at a glance
- Published
- 19 August 2026
- Volume / issue / pages
- Vol. 2, Issue 8, pp. 640-642
- ISSN
- 3051-3588 (online) · 3051-357X (print)
- Licence
- CC BY 4.0 — free to read and reuse with attribution
- Peer review
- Double-blind, at least two independent reviewers
- Publisher
- EP Journals Group
Abstract
Artificial intelligence has diffused rapidly through the recruitment function, from automated résumé screening and chatbot-led candidate engagement to algorithmic assessment and predictive analytics, and vendors and adopters advance strong claims about efficiency and quality-of-hire gains. Simultaneously, high-profile failures have made algorithmic hiring a focal case in debates about automated discrimination and its regulation. This paper reviews the multidisciplinary literature on AI in recruitment — spanning human resource management, information systems, computer science research on algorithmic fairness, and the emerging regulatory scholarship — to assess what is credibly known about its benefits, its risks, and the conditions that separate the two. The review finds robust evidence for process-efficiency gains but thin and mixed evidence for quality-of-hire improvement; a well-established taxonomy of bias mechanisms (training data bias, proxy discrimination, and feedback loops) with documented instances in deployed systems; and an emerging governance literature converging on auditability, human oversight, and outcome monitoring as the practices that condition whether adoption helps or harms diversity outcomes. The paper develops a governance-centred framework for HR practice, maps it against incoming regulation including the EU AI Act's classification of employment AI as high-risk, and sets out a research agenda focused on the gap between vendor claims and independently verifiable outcomes.
Keywords: artificial intelligence, recruitment, algorithmic bias, HR analytics, talent acquisition, AI governance, EU AI Act, literature review
Cite this article
Mehmoona Akram, Syeda Fatima Hussain, & Raja Muneeb Anwar (2026). Artificial Intelligence in Recruitment: A Review of Efficiency Claims, Bias Risks, And the Governance Imperative for HR Practice. Journal of Management Research and Review, 2(8), 640-642. https://doi.org/10.65150/EP-jmrr/V2E8/2026-10
@article{Mehmoona2026,
title = {Artificial Intelligence in Recruitment: A Review of Efficiency Claims, Bias Risks, And the Governance Imperative for HR Practice},
author = {Mehmoona Akram and Syeda Fatima Hussain and Raja Muneeb Anwar},
journal = {Journal of Management Research and Review},
year = {2026},
volume = {2},
number = {8},
pages = {640-642},
doi = {10.65150/EP-jmrr/V2E8/2026-10},
url = {https://doi.org/10.65150/EP-jmrr/V2E8/2026-10}
}Questions about this article
Who wrote this article?
Mehmoona Akram, Syeda Fatima Hussain, Raja Muneeb Anwar.
Where and when was it published?
In Journal of Management Research and Review, Volume 2, Issue 8, pages 640-642, published by EP Journals Group on 19 August 2026.
Is this article free to read?
Yes. It is open access under a Creative Commons Attribution 4.0 (CC BY 4.0) licence, so anyone can read, share and reuse it with attribution.
What is the DOI of this article?
10.65150/EP-jmrr/V2E8/2026-10 (https://doi.org/10.65150/EP-jmrr/V2E8/2026-10).
How do I cite this article?
APA: Mehmoona Akram, Syeda Fatima Hussain, & Raja Muneeb Anwar (2026). Artificial Intelligence in Recruitment: A Review of Efficiency Claims, Bias Risks, And the Governance Imperative for HR Practice. Journal of Management Research and Review, 2(8), 640-642. https://doi.org/10.65150/EP-jmrr/V2E8/2026-10
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