I had a discussion in class with one of my teachers. He says that AI is and can only be always deterministic because “even a deep learning neural network is a set of equations running on a computer, and the stochastic factor is added at the beginning. But the output of a model is always deterministic, even if it’s not interpretable by humans.”
How would you reply? (Possibly with examples and papers)
Tysm!
Your teacher’s argument is based on the fact that pseudo-random generators are deterministic, which is entirely irrelevant to ML theory.
If you want to make the point that the “can only be” part is extremely far-reaching, just bring quantum physicists in the discussion.