South Korean researchers develop technique that enables artificial intelligence to refuse providing false information when it does not know the answer
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Researchers from South Korea have developed a new method that enables artificial intelligence systems to acknowledge when they do not know something rather than producing misleading information.
The development comes amid efforts to improve the safety of artificial intelligence applications, particularly in sensitive fields such as healthcare and autonomous driving. The new technique aims to reduce errors in large language models.
South Korean researchers developed a technique that trains artificial intelligence to recognize the limits of its knowledge and refuse to provide confident incorrect answers. The advancement solves the 'hallucination' problem that causes systems to fabricate misleading information when they lack an accurate answer.
If this technique proves successful, artificial intelligence applications in healthcare and autonomous vehicles will become safer, and will reduce risks of medical errors or accidents. Building genuine trust in these systems means expanding their use in sensitive sectors that directly impact your life and safety.

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