AI Literacy Starts with Data Literacy in Healthcare
EDITOR BRIEF
The excerpt explains that AI and data science are changing how healthcare data is used, including in research on new treatments. It also warns that AI can reinforce bias if the underlying data or system design is flawed. To help students think critically, the DSAIY high school curriculum teaches machine learning through hands-on data collection, model training, testing, and evaluation.
INSIGHTS
For beginners, this shows that learning AI is not just about using tools, but about checking where answers come from and how data can shape them. A good next step is to practice evaluating an AI output against a trusted source and look for possible bias in the data behind it.
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