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Evidence record 6342 · automatically gathered

Which English Do LLMs Prefer? Triangulating Structural Bias Towards American English in Foundation Models

Large language models (LLMs) are increasingly deployed in high-stakes domains, yet they expose only limited language settings, most notably "English (US)," despite the global diversity and colonial history of English. Through a postcolonial framing to explain the broader significance, we investigate how geopolitical histories of data curation, digital dominance, and linguistic standardization shape the LLM development pipeline. Focusing on two dominant standard varieties, American English (AmE)

Record details

Published: 5 April 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Finance, VC & PE
Retrieved: 14 July 2026

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How to cite this record

ethics.ai (5 April 2026), “Which English Do LLMs Prefer? Triangulating Structural Bias Towards American English in Foundation Models,” evidence record 6342, https://ethics.ai/record/6342 (originally published by arXiv).

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