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  "path": "/news/2026-04-ai-temporal-errors-reliability-medical.html",
  "publishedAt": "2026-04-14T08:40:04.000Z",
  "site": "https://techxplore.com",
  "tags": [
    "Computer Sciences"
  ],
  "textContent": "What if ChatGPT answered with the name of a minister from a year ago when asked, \"Who was the minister inaugurated last month?\" This is a prime example of the limitations of AI that fails to properly reflect the latest information. A KAIST research team has developed a new evaluation technology that automatically reflects changing real-world information while catching \"temporal errors\" that may appear correct on the surface. This is expected to drastically improve AI reliability.",
  "title": "AI fixes 'temporal errors,' enhancing reliability in medical and legal fields"
}