{
  "id": 112438,
  "title": "Who Should Be Generated? Justifying Demographic Targets in Open-Ended Generation",
  "url": "https://urgent.news/2026/08/03/who-should-be-generated-justifying-demographic-targets-in-open-ended",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-03T17:35:31.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.02551v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Fairness evaluation concerns not only what a model produces, but also what its outputs ought to be compared against. When a model generates \"a CEO in the United States,\" the prompt leaves demographic realization to the model. Existing group fairness definitions assume that sensitive attributes are given on the input side. Generative audits instead examine output-side demographic composition, yet…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}