{
  "id": 15930138,
  "title": "AI isn’t hallucinating—but your data might be",
  "url": "https://urgent.news/2026/10/21/ai-isnt-hallucinating-but-your-data-might-be",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-21T18:16:22.000Z",
  "source": {
    "name": "Computerworld",
    "slug": "computerworld",
    "url": "https://www.computerworld.com/article/4238616/ai-isnt-hallucinating-but-your-data-might-be.html"
  },
  "original_language": "en",
  "account": null,
  "summary": "The article \"AI isn’t hallucinating—but your data might be\" from Computerworld discusses the issue of AI producing incorrect information in IT operations, which is often labeled as \"hallucination.\" However, this phenomenon can be attributed to more mundane data problems such as outdated, incomplete, or contradictory data. The article emphasizes that the root causes of unreliable AI are primarily poor data quality, stale information, and conflicting records. The distinction between actual hallucinations and errors stemming from poor data is crucial, as the fixes differ. While fixing the AI model is not the solution, improving the information foundation the system relies on is. The article also highlights a survey showing that 68% of IT professionals have observed AI producing hallucinations with potential operational impact, with only half catching the errors before they caused problems.",
  "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."
}