activity
20242026
most citedA Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models

99 citations · 141 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CY2026

Harnessing Generative UI for Education: Tailored Learning Interactives

Alisa Kovshov, Anisha Choudhury, Anna Iurchenko +26

It is well established that students learn best through active engagement, particularly via interactive experiences tied to real-world concepts. Creating such experiences, however,…

cs.CY2025★ 1 cited

Towards an AI-Augmented Textbook

LearnLM Team, Google, : +34

Textbooks are a cornerstone of education, but they have a fundamental limitation: they are a one-size-fits-all medium. Any new material or alternative representation requires arduo…

cs.AI2025★ 41 cited

MedGemma Technical Report

Andrew Sellergren, Sahar Kazemzadeh, Tiam Jaroensri +78

Artificial intelligence (AI) has significant potential in healthcare applications, but its training and deployment faces challenges due to healthcare's diverse data, complex tasks,…

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…

eess.IV2024

Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings

Rajeev V. Rikhye, Aaron Loh, Grace Eunhae Hong +23

Recently, there has been great progress in the ability of artificial intelligence (AI) algorithms to classify dermatological conditions from clinical photographs. However, little i…