A college level approach could look at the line between Math/Science/Physics and Philosophy. One thing from the article that stood out to me was that the introduction to their approach started with a problem about classifying a traffic light. Is it red or green?

But the accompanying XY plot showed samples that overlapped or at least were ambiguous. I immediately lost a lot of my interest in their approach, because traffic lights by design are very clearly red, or green. There aren't mauve or taupe lights that the local populace laughs at and says, "yes, that's mostly red."

I like the idea of studying math by using ML examples. I'm guessing this is a first step and future education will have better examples to learn from.