most citedA Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models

99 citations · 115 across the 5 of their papers we have counts for

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cs.LG2024★ 6 cited

Nteasee: Understanding Needs in AI for Health in Africa -- A Mixed-Methods Study of Expert and General Population Perspectives

Mercy Nyamewaa Asiedu, Iskandar Haykel, Awa Dieng +7

Artificial Intelligence (AI) for health has the potential to significantly change and improve healthcare. However in most African countries, identifying culturally and contextually…