AI and global digital influence

AI models face significant challenges because their training primarily focuses on languages with large amounts of data, such as English and Chinese, which reduces their ability to understand hundreds of low-resource languages. This disparity leads to a decline in performance for some languages in AI applications, deepening the digital divide and impacting access to information and digital services for their speakers. Researchers are working on developing techniques like cross-lingual transfer and synthetic data to enhance the representation of underrepresented languages in large language models.

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