{
  "id": 8161607,
  "title": "Prediction-Powered Smoothing and Validation for Disaggregated AI Evaluation",
  "url": "https://urgent.news/2026/09/17/prediction-powered-smoothing-and-validation-for-disaggregated-ai",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-17T17:42:29.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.20758v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Evaluating an AI system requires disaggregated assessment, as performance varies across domains such as benchmark task types or conversation types in deployed agents. Exhaustive testing is expensive, so evaluation rests on a sample of labeled units. We treat the evaluation set as a finite population and seek accurate point and interval estimates of each domain mean. Direct estimators, including…",
  "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."
}