Work

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

Year: 2025

Type: article

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15802698

Author: Das, Swagatika

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDG: Reduced inequalities

Open Access status: green

OpenAlex ID: W6949339284

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