Algorithmic Bias in Healthcare AI
A free, 6-session curriculum designed for AP Biology, Health Science, Social Studies, or Advisory periods. Each session is 30 minutes with slides, facilitator guide, and student handout.
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Sessions
The Algorithm Has an Opinion
Introduction to algorithmic bias — what it is, how it enters healthcare AI, and why it matters. Students explore how training data shapes AI outputs.
Skin Deep — When AI Can't See You
Dermatology AI shows a threefold gap in accuracy between light and dark skin tones. Students examine the peer-reviewed data and discuss what this means for patient care.
The Data Gap — Who Gets Counted
Medical AI is only as good as its training data. Students investigate which populations are overrepresented, which are missing, and what happens in the gap.
Race in the Formula
For decades, medical algorithms used race as a variable — affecting kidney function estimates, lung capacity readings, and heart risk scores. Students trace how historical bias became code.
Your Health, Your Data, Your Rights
Who owns health data? Who profits from it? Students explore data governance, informed consent, and what it means when your health information trains an AI model.
From Diagnosis to Action
Capstone session. Students apply everything they've learned to evaluate a real AI health tool for bias, present findings, and propose concrete solutions.
Creative Commons BY-NC-ND 4.0
All Diagnose the Bias curriculum materials are licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
You are free to share these materials, but you must give appropriate credit, you cannot use them for commercial purposes, and you cannot distribute modified versions.