{
  "id": 10602334,
  "title": "Uncovering shortcut learning in audio classifiers by discovering recurring concepts in temporal explanations",
  "url": "https://urgent.news/2026/09/27/uncovering-shortcut-learning-in-audio-classifiers-by-discovering",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-27T23:52:15.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.34030v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Correlations between events in machine learning datasets may result in shortcut learning, where models learn to predict the target event based on the presence of a correlated event. When these correlations are spurious -- arising from data collection artifacts -- models are likely to perform poorly in practice. We propose a pipeline to uncover shortcut learning in audio classifiers by discovering…",
  "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."
}