{
  "id": 12635,
  "url": "https://arxiv.org/abs/2607.19389",
  "title": "Simulating Eutopia: Revisiting Long-term Fairness with Outcomes, Performativity, and Dynamics",
  "summary": "arXiv:2607.19389v1 Announce Type: new Abstract: As AI-driven Decision Makers (ADMs) influence our socioeconomic reality, their roles in both enhancing efficiency and amplifying the social biases have drawn attention. In this paper, we revisit the nuances of long-term `fairness' achievable by an ADM, specifically in the context of a credit lending induced wealth process. The literature on long-term fairness mostly (a) considers passive environments, i.e. the outcome of a predictor does not change",
  "authors": "Vedant Palit, Udvas Das, Brahim Driss, Debabrota Basu",
  "category": "research",
  "topics": "bias-fairness,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-23T04:00:00.000Z",
  "fetched_at": "2026-07-23T05:10:49.458Z",
  "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/12635",
  "original_url": "https://arxiv.org/abs/2607.19389",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}