{
  "id": 13858719,
  "title": "Hide and Seek: HIDE Concepts to SEEK explanations for black box models",
  "url": "https://urgent.news/2026/10/09/hide-and-seek-hide-concepts-to-seek-explanations-for-black-box-models",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-09T17:56:59.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.13935v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Interpreting machine learning model predictions is a central challenge, particularly for black-box vision models. Concept-based attribution methods interpret models using human-understandable concepts. Existing concept-based methods can only interpret classification and regression models. They require access to model weights or large concept-annotated datasets, and most methods cannot provide…",
  "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."
}