Decolonizing Linguistic Policies in Automated Speech Recognition: A Framework for Cross-Culturally Competent Speech AI
This paper focuses on automatic speech recognition (ASR) and ASR-mediated voice interfaces that shape access to public services, healthcare, and education. We argue that persistent failures for low-resource, Indigenous, and non-standard language varieties are not only technical errors, but also implicit linguistic policies that reproduce colonial language hierarchies. Drawing on linguistic capital, raciolinguistic ideology, language policy research, and decolonial computing, we show how data, me
Record details
Published: 6 August 2026
Source: arXiv
Category: Research
Topics: Regulation · Healthcare · Children & education
Retrieved: 7 August 2026
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ethics.ai (6 August 2026), “Decolonizing Linguistic Policies in Automated Speech Recognition: A Framework for Cross-Culturally Competent Speech AI,” evidence record 17070, https://ethics.ai/record/17070 (originally published by arXiv).
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