{
  "id": 18361,
  "url": "https://arxiv.org/abs/2608.10089",
  "title": "Status Association Does Not Reliably Predict Decision Leakage",
  "summary": "arXiv:2608.10089v1 Announce Type: cross Abstract: Bias evaluations often move too quickly from evidence that a model encodes a social association to claims that the same association will alter consequential decisions. We test whether that inference is warranted using Chilean surnames as controlled socioeconomic probes. We evaluate eight frozen model-provider cells on 1,032 prompts each, yielding 8,256 verified primary responses. The design separates forced latent association from matched consequ",
  "authors": "Abdullah X",
  "category": "research",
  "topics": "bias-fairness",
  "orgs": null,
  "regions": "latam",
  "published_at": "2026-08-12T04:00:00.000Z",
  "fetched_at": "2026-08-12T05:10:43.828Z",
  "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/18361",
  "original_url": "https://arxiv.org/abs/2608.10089",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}