@marie_joseph@eldritch.cafe
I think it's up to us to explain this.
A long time ago I started using "statistical programming" instead of AI, ML, DL and similar antropomorhic locutions.
I always explain that ANN are just peculiar virtual machines whose programs (the numerical matrices of weights and activation thresolds) are programmed statistically through data samples.
As far as I can see, people understand this quite well.
The calibration of an ANN (improperly named "training") is just a form of compilation: the readable data are turned into opaque binaries that only that specific topology can execute "correctly" (for whatever correctly can means in this context).
Calling it "statistical programming" makes it also clear programmers' responsibility and how fragile and bugged are the opaque programs.
