I mean...you can't make math simpler. like...math is math. you can create resources that make it easier to teach math (and for the record high quality textbooks on AI/ML ABOUND). I think you want software and libraries so you can build things without understanding the math. To some degree this already possible (see my english major linkedin friends playing withs sci-kit etc etc). Fundamentally though, I think you need at least some basic understanding of the mathematics to interpret results/create new ideas. Arguing otherwise is like saying you can code without knowing what a queue is...I mean sure you can probably create something that compiles and runs but your horizons will be more narrow than someone with a full computer science education and grounding. just like trying to do ml without at least some understanding of the math is like a blind man trying to open a door.

case-in-point: I am on hn right now because my research is going badly because I am using another researcher's code and I don't fully understand the correspondence between the paper and the code. I am getting terrible results on some multi-class classification (i.e. approximately random). I am not sure if I am using some wrong parameters or because the signal I am looking for doesn't exist in the data. Not knowing at least some mathematics would make this a LOT harder