{
  "id": 5627,
  "url": "https://arxiv.org/abs/2604.17836v1",
  "title": "Label-Free Detection of Governance Evidence Degradation in Risk Decision Systems",
  "summary": "Risk decision systems in fraud detection and credit scoring operate under structural label absence: ground truth arrives weeks to months after decisions are made. During this blind period, model performance may degrade silently, eroding the governance evidence that justifies automated decisions. Existing drift detection methods either require labels (supervised detectors) or detect statistical change without distinguishing harmful degradation from benign distributional evolution (unsupervised de",
  "authors": "Oleg Solozobov",
  "category": "research",
  "topics": "regulation",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-20T05:46:15.000Z",
  "fetched_at": "2026-07-14T16:31:53.167Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5627",
  "original_url": "https://arxiv.org/abs/2604.17836v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}