Linguistic Bias in Al Hiring Systems: A Postcolonial and Multilingual Justice Perspective

This working paper investigates how AI-powered hiring systems reproduce linguistic bias in multilingual, postcolonial societies, using India as a case study. Drawing on theories of linguistic justice, algorithmic fairness, and postcolonial ethics, the author proposes a value-aligned design approach for LLM-based recruitment tools. The paper aims to contribute to discussions around ethical, inclusive AI design, and support the goals of the alignAI network hosted by the Institute for Ethics in AI at the Technical University of Munich.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-04
DOI
https://doi.org/10.5281/zenodo.15802699
Primary Topic
ICT in Developing Communities
Type
article
Field-Weighted Citation Impact
0.00
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article

Linguistic Bias in Al Hiring Systems: A Postcolonial and Multilingual Justice Perspective

Zenodo (CERN European Organization for Nuclear Research)
ICT in Developing Communities
article

Linguistic Bias in Al Hiring Systems: A Postcolonial and Multilingual Justice Perspective

article en

Abstract

This working paper investigates how AI-powered hiring systems reproduce linguistic bias in multilingual, postcolonial societies, using India as a case study. Drawing on theories of linguistic justice, algorithmic fairness, and postcolonial ethics, the author proposes a value-aligned design approach for LLM-based recruitment tools. The paper aims to contribute to discussions around ethical, inclusive AI design, and support the goals of the alignAI network hosted by the Institute for Ethics in AI at the Technical University of Munich.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 40%
ICT in Developing Communities
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Linguistic Bias in Al Hiring Systems: A Postcolonial and Multilingual Justice Perspective · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS