{
  "id": 14108,
  "url": "https://arxiv.org/abs/2507.11548",
  "title": "Fairness Is Not Enough: Auditing Competence and Intersectional Bias in AI-powered Resume Screening",
  "summary": "arXiv:2507.11548v3 Announce Type: replace Abstract: The use of publicly available generative AI systems for resume evaluation is often justified by the assumption that these tools reduce bias relative to human judgment. However, this framing leaves a prior question unresolved: whether these systems are capable of performing the evaluative task at all. This study presents a two-part audit of eight widely used AI platforms used for resume screening. Drawing on the concept of the Illusion of Neutra",
  "authors": "Kevin T Webster",
  "category": "research",
  "topics": "bias-fairness,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-29T04:00:00.000Z",
  "fetched_at": "2026-07-29T05:10:12.205Z",
  "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/14108",
  "original_url": "https://arxiv.org/abs/2507.11548",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}