Opinion: Health AI demos should test dirty data and failed syncs
Sensitive_Signal_339 · reddit · 2026-07-31
A user criticized the demo methodology of current health AI tools (like ChatGPT Health), arguing that most demos run on idealized, clean data, which masks real-world data issues.
The author calls for health AI tests to intentionally introduce chaos: using old lab reports, dropping wearable data fields, or giving the same label to data from different sources. Can the system catch these sync failures and missing data? They emphasize that AI shouldn't quietly turn missing data into confident answers.
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