{
  "id": 17005,
  "url": "https://arxiv.org/abs/2608.05178",
  "title": "Who Gets Access? Global Region and Academic Status Bias in AI-Generated Academic Gatekeeping Scenarios",
  "summary": "arXiv:2608.05178v1 Announce Type: new Abstract: Equitable access to scientific knowledge often depends on informal gatekeeping decisions, particularly when resources such as paywalled articles, datasets, or professional materials such as curriculum vitae (CV) must be shared selectively. We introduce a controlled simulation framework in which large language model (LLM)-based professors must grant access to only one requestor. Across prompts, requesters vary systematically by global region (Global",
  "authors": "Nouar AlDahoul, Hezerul Abdul Karim, Myles Joshua Toledo Tan",
  "category": "research",
  "topics": "bias-fairness",
  "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/17005",
  "original_url": "https://arxiv.org/abs/2608.05178",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}