Mar 10, 2025

AI Hallucinations in Healthcare: Cross-Cultural and Linguistic Risks of LLMs in Low-Resource Languages

Peace Silly, Zineb Ibnou Cheikh, Gracia Kaglan

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Summary

This project explores AI hallucinations in healthcare across cross-cultural and linguistic contexts, focusing on English, French, Arabic, and a low-resource language, Ewe. We analyse how large language models like GPT-4, Claude, and Gemini generate and disseminate inaccurate health information, emphasising the challenges faced by low-resource languages.

Cite this work:

@misc {

title={

AI Hallucinations in Healthcare: Cross-Cultural and Linguistic Risks of LLMs in Low-Resource Languages

},

author={

Peace Silly, Zineb Ibnou Cheikh, Gracia Kaglan

},

date={

3/10/25

},

organization={Apart Research},

note={Research submission to the research sprint hosted by Apart.},

howpublished={https://apartresearch.com}

}

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This work was done during one weekend by research workshop participants and does not represent the work of Apart Research.
This work was done during one weekend by research workshop participants and does not represent the work of Apart Research.