{
  "id": 6342,
  "url": "https://arxiv.org/abs/2604.04204v1",
  "title": "Which English Do LLMs Prefer? Triangulating Structural Bias Towards American English in Foundation Models",
  "summary": "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) ",
  "authors": "Mir Tafseer Nayeem, Davood Rafiei",
  "category": "research",
  "topics": "bias-fairness,finance-investment",
  "orgs": null,
  "regions": "us",
  "published_at": "2026-04-05T17:59:34.000Z",
  "fetched_at": "2026-07-14T16:32:24.292Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/6342",
  "original_url": "https://arxiv.org/abs/2604.04204v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}