{
  "id": 3712,
  "url": "https://arxiv.org/abs/2605.26397v2",
  "title": "Algorithmic Fragility and Persona Bias in LLM-Generated Autistic Communication",
  "summary": "Safety alignment reduces explicitly harmful outputs but inadvertently encodes a sanitized, neuronormative representation of marginalized communication. We investigate this encoding using a dual-persona rewrite paradigm, prompting ten large language models (LLMs) to rewrite naturally occurring autistic discourse from either an autistic or neurotypical persona. We uncover autistic-persona rewrites diverge significantly more in lexical form and affective register than neurotypical rewrites, despite",
  "authors": "Naba Rizvi, Mohammed Rizvi, Harper Strickland, Saleha Ahmedi, Nedjma Ousidhoum",
  "category": "research",
  "topics": "bias-fairness,safety-alignment,finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-26T00:05:16.000Z",
  "fetched_at": "2026-07-14T16:30:27.610Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/3712",
  "original_url": "https://arxiv.org/abs/2605.26397v2",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}