{
  "id": 10549,
  "url": "https://arxiv.org/abs/2605.13866",
  "title": "AI Alignment Amplifies the Role of Race, Gender, and Disability in Hiring Decisions",
  "summary": "arXiv:2605.13866v2 Announce Type: replace Abstract: Humans increasingly delegate consequential decisions to language models, yet whether these systems reproduce or reshape human patterns of discrimination remains unclear. Here, across 29 models and 177 occupations covering nearly half of U.S. employment, we show that language models incorporate demographics into hiring decisions, advantaging female and Black candidates while penalising disabled candidates, with effect sizes comparable to six mon",
  "authors": "Ze Wang, Guobin Shen, Michael Thaler",
  "category": "research",
  "topics": "bias-fairness,safety-alignment,jobs-economy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-16T04:00:00.000Z",
  "fetched_at": "2026-07-16T05:10:56.605Z",
  "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/10549",
  "original_url": "https://arxiv.org/abs/2605.13866",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}