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Before You Build: Seven Misconceptions Health AI Developers Must Confront in Global Public Health

2026-03-31

Abstract excerpt

<p>Every week, engineers, data scientists, and entrepreneurs approach global health organizations with a similar aspiration: to use artificial intelligence (AI) to improve population health. They arrive with genuine passion and a set of assumptions about healthcare and health systems that are, with striking regularity, misaligned with global realities.This essay introduces ‘The Context Gap in Global Health AI,’ a...

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Literature Corpus work: d2d11348-a891-55e6-add0-a78d978a1129
DOI: 10.31222/osf.io/8w3at_v1

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