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New Accelerants of Inequality Regimes: AI-Hiring Tools and Algorithmic Bias

Lookup NU author(s): Dr Emily YarrowORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

AI‐hiring technology is becoming increasingly widely adopted, raising important questions about what effect such technologymay have on organizational inequality regimes. Although there is a large and growing body of literature surrounding the effectsof AI hiring, its impacts, and bias, markedly less is known about who develops, sells, and markets such tools, and what role thismay play in the altering and further entrenching of inequality regimes. Drawing on the voices of 21 developers and hiringplatform vendors, this study explores current levels of apathy surrounding gender equality in AI‐hiring tech. From the findings,it is argued that DEI issues and subsequent debiasing are seen as iterative, retrofit solutions, problems that can be tended toretrospectively, rather than inclusion and equity being built‐in from the outset. In turn, it is posited that algorithmic bias and AI‐hiring tools serve as a contemporary facet of inequality regimes. This article offers a threefold contribution to Feminist AIscholarship: a theoretical extension to Acker's inequality regimes framework in the form of an annex, which includes the role ofartificial intelligence in the reproduction of inequalities, a conceptual model which outlines new accelerants of inequality re-gimes, and contemporary empirical insights from a hard to access group.


Publication metadata

Author(s): Yarrow E

Publication type: Article

Publication status: Published

Journal: Gender, Work and Organization

Year: 2026

Issue: ePub ahead of Print

Online publication date: 02/08/2026

Acceptance date: 14/07/2026

Date deposited: 04/08/2026

ISSN (print): 0968-6673

ISSN (electronic): 1468-0432

Publisher: Wiley

URL: https://doi.org/10.1111/gwao.70232

DOI: 10.1111/gwao.70232

Data Access Statement: The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.


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