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.
AI fixes ‘temporal errors,’ enhancing reliability in medical and legal fields
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SecurityPrivacy violations undermine the trustworthiness of the Tim Hortons brand
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Featured HeadlinesWhy Tesla’s Autopilot crashes spurred the feds to investigate driver-assist technologies – and what that means for the future of self-driving cars
