Decolonizing Linguistic Policies in Automated Speech Recognition: A Framework for Cross-Culturally Competent Speech AI
arXiv:2608.06141v1 Announce Type: cross Abstract: 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 resear
Record details
Published: 7 August 2026
Source: arXiv cs.CY
Category: Research
Topics: Regulation · Healthcare · Children & education
Retrieved: 7 August 2026
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ethics.ai (7 August 2026), “Decolonizing Linguistic Policies in Automated Speech Recognition: A Framework for Cross-Culturally Competent Speech AI,” evidence record 17021, https://ethics.ai/record/17021 (originally published by arXiv cs.CY).
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