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Updated: Jan 3, 2026

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
Published on: May 10, 2019
Teaching yourself about structural racism will improve your machine learning
Whitney R Robinson1, Audrey Renson2, Ashley I Naimi3
1Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill; Carolina Population Center, University of North Carolina at Chapel Hill, CB #7345 McGavran-Greenberg, Chapel Hill, NC 27599-7435, USA.
Abstract:
In this commentary, we put forth the following argument: Anyone conducting machine learning in a health-related domain should educate themselves about structural racism. We argue that structural racism is a critical body of knowledge needed for generalizability in almost all domains of health research.
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