{
  "id": 17022,
  "url": "https://arxiv.org/abs/2511.17124",
  "title": "Auditing Sex/Gender Disparities in Emergency Triage with LLM-based Paired Comparisons",
  "summary": "arXiv:2511.17124v2 Announce Type: replace Abstract: We present a domain-agnostic paired-comparison approach that uses Large Language Models (LLMs) to quantify sex/gender-related asymmetries in documented clinical decision-making. The method trains an LLM to emulate observed decisions, then evaluates sex-swapped pairs in which only sex is flipped, holding documented clinical content constant. We apply it to emergency triage, analyzing more than 140,000 Bordeaux University Hospital (France) admiss",
  "authors": "Ariel Guerra-Adames, Marta Avalos-Fernandez, Oc\\'eane Dor\\'emus, Leo Anthony Celi, C\\'edric Gil-Jardin\\'e, Emmanuel Lagarde",
  "category": "research",
  "topics": "healthcare,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-07T04:00:00.000Z",
  "fetched_at": "2026-08-07T05:10:58.501Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/17022",
  "original_url": "https://arxiv.org/abs/2511.17124",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}