{
  "id": 19025,
  "url": "https://arxiv.org/abs/2608.12278v1",
  "title": "Structural Silence: When AI Infrastructure Fails Speakers of Underrepresented Languages",
  "summary": "Artificial intelligence tools for education and language support are increasingly framed as scalable responses to access gaps in under-resourced communities. Yet the infrastructure underlying these tools, including training corpora, tokenization schemes, evaluation benchmarks, and deployment architectures, can systematically disadvantage speakers of underrepresented languages before a model is trained. This paper examines these structural barriers through Bengali, one of the world's most widely",
  "authors": "Avijit Roy, Proma Roy",
  "category": "research",
  "topics": "children-education",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-12T17:17:25.000Z",
  "fetched_at": "2026-08-13T05:10:37.786Z",
  "source_slug": "x-arxiv-cs-ai",
  "source_name": "arXiv cs.AI",
  "source_homepage": "https://arxiv.org/list/cs.AI/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/19025",
  "original_url": "https://arxiv.org/abs/2608.12278v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}