A toolbox for surfacing health equity harms and biases in large language models is a research paper published in Nature Medicine (2024). On theSindex it has a DataRank of 0. It has been cited 88 times.
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NIBIB NIH HHS
Grant: R01 EB017205
FIC NIH HHS
Grant: U54 TW012043
NIH HHS
Grant: OT2 OD032701
National Science Foundation
Grant: 2148451
A Learning Ecosystem for Teaching High School Students Machine Learning Concepts and Data Science Skills in Healthcare and Medicine
National Institutes of Health
Grant: 3OT2OD032701-01S3
Bridge2AI: Patient-Focused Collaborative Hospital Repository Uniting Standards (CHoRUS) for Equitable AI
National Institutes of Health
Grant: 3R01EB017205-06S1
Critical Care Informatics: Ethical considerations around the use and sharing of health-related data
National Institutes of Health
Grant: 5U54TW012043-05
MUST Data Science Research Hub (MUDSReH)
This study was funded by Google LLC and/or subsidiary thereof (Google).
MeSH Terms
Keywords
Sustainable Development Goals
A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models
A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models
A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models