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20212025
most citedA Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models

99 citations · 199 across the 10 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CL2024★ 7 cited

AfriMed-QA: A Pan-African, Multi-Specialty, Medical Question-Answering Benchmark Dataset

Tobi Olatunji, Charles Nimo, Abraham Owodunni +23

Recent advancements in large language model(LLM) performance on medical multiple choice question (MCQ) benchmarks have stimulated interest from healthcare providers and patients gl…

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…

cs.CL2024★ 2 cited

Contextual Evaluation of Large Language Models for Classifying Tropical and Infectious Diseases

Mercy Asiedu, Nenad Tomasev, Chintan Ghate +9

While large language models (LLMs) have shown promise for medical question answering, there is limited work focused on tropical and infectious disease-specific exploration. We buil…

cs.AI2024★ 21 cited

The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa

Mercy Asiedu, Awa Dieng, Iskandar Haykel +7

With growing application of machine learning (ML) technologies in healthcare, there have been calls for developing techniques to understand and mitigate biases these systems may ex…

cs.CY2024★ 99 cited

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

Stephen R. Pfohl, Heather Cole-Lewis, Rory Sayres +27

Large language models (LLMs) hold promise to serve complex health information needs but also have the potential to introduce harm and exacerbate health disparities. Reliably evalua…

cs.HC2024★ 2 cited

Impact of Large Language Model Assistance on Patients Reading Clinical Notes: A Mixed-Methods Study

Niklas Mannhardt, Elizabeth Bondi-Kelly, Barbara Lam +10

Large language models (LLMs) have immense potential to make information more accessible, particularly in medicine, where complex medical jargon can hinder patient comprehension of…