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  "path": "/news/2026-04-ai-im-cases-calibration-errors.html",
  "publishedAt": "2026-04-22T16:20:04.000Z",
  "site": "https://techxplore.com",
  "tags": [
    "Computer Sciences"
  ],
  "textContent": "Confidence is persuasive. In artificial intelligence systems, it is often misleading. Today's most capable reasoning models share a trait with the loudest voice in the room: They deliver every answer with the same unshakable certainty, whether they're right or guessing. Researchers at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have now traced that overconfidence to a specific flaw in how these models are trained, and developed a method that fixes it without giving up any accuracy. The team's research is published on the arXiv preprint server.",
  "title": "Teaching AI models to say 'I'm not sure' in cases of calibration errors"
}