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Researchers at the University of Washington found that state-of-the-art AI models from Google and OpenAI biased speakers with Chinese and Nigerian accents lowest during interviews and tests. The team presented these findings Oct. 25 at the Conference on Empirical Methods in Natural Language Processing in Budapest, Hungary, involving four specific models.
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