{
  "id": 19130,
  "url": "https://arxiv.org/abs/2606.18479",
  "title": "The Illusion of Improvement: Reject Inference Strategies in Credit Scoring",
  "summary": "arXiv:2606.18479v2 Announce Type: replace-cross Abstract: Reject inference methods are widely used to mitigate survival bias in credit scoring, yet their effectiveness remains poorly understood. We systematically evaluate several such methods and uncover a structural failure mode: in a natural retraining cycle, models whose accuracy improves while recall collapses create an illusion of improvement that leads practitioners to believe the system is getting better when, in fact, its rejection quali",
  "authors": "Bruno Scarone, Ricardo Baeza-Yates",
  "category": "research",
  "topics": "bias-fairness",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-14T04:00:00.000Z",
  "fetched_at": "2026-08-14T05:10:49.168Z",
  "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/19130",
  "original_url": "https://arxiv.org/abs/2606.18479",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}