{
  "id": 66876,
  "title": "A Human-Centered Validation of the Explainability-Performance Coefficient",
  "url": "https://urgent.news/2026/07/31/a-human-centered-validation-of-the-explainability-performance",
  "topic": "ai",
  "section": "AI",
  "published": "2026-07-31T16:50:51.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2607.29614v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "The rapid adoption of deep learning models in high-risk domains has intensified the need for trustworthy Explainable Artificial Intelligence (XAI). However, objectively evaluating explanation fidelity and aligning XAI metrics with human-centered understanding remain critical open challenges. In this work, we propose a model-agnostic metric, the EPC score, which is an extension of the…",
  "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."
}