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1
AI and your health — what you don't know can hurt you
PAIR study confidence gap VERIFY intro
2
When AI gets it wrong — real cases, real consequences
Case studies VERIFY application error compounding
3
The ghosts in the machine — how bias gets built into AI
Training data bias healthcare disparities bridge to DTB
4
Your turn — evaluating AI like a researcher
Independent VERIFY practice peer presentation
5
Building your own AI health literacy tool
Peer resource creation knowledge translation
6
What happens next — AI literacy as a life skill
Curriculum synthesis commitment sharing VERIFY
Download entire high school curriculum (.zip) ↓

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