{
  "id": 19319893,
  "title": "Why Your AI Is Confidently Wrong, and What You Can Do About It",
  "url": "https://urgent.news/2026/11/10/why-your-ai-is-confidently-wrong-and-what-you-can-do-about-it",
  "topic": "ai",
  "section": "AI",
  "published": "2026-11-10T10:46:54.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/goodgentleman918_1f17b099/why-your-ai-is-confidently-wrong-and-what-you-can-do-about-it-3dol"
  },
  "original_language": "en",
  "account": null,
  "summary": "TL;DR: Fluent AI output is not necessarily correct. In this project, I built a lightweight Python workflow that uses explicit scoring rubrics, structured human annotations, Pydantic validation, evaluator-agreement checks, and an adjudication queue. On the included synthetic example dataset, the pipeline compared 15 shared cases, reported 86.7% exact error-label agreement and 93.3% exact severity…",
  "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."
}