Stanford researchers found that A.I. chatbots, like Claude 3.5, often struggle with languages outside of English, displaying errors in poetry format and translation, highlighting the potential cultural and technological gaps.
The delay in access to good technology due to deficiencies in A.I. language models may result in economic setbacks, causing concern among experts for exacerbating technological inequities globally.
The Stanford team's testing revealed that A.I. tools commonly make errors in facts and diction when dealing with languages like Vietnamese, lacking adequate online data for learning due to low-resource language status in the industry.
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