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!
He’s right, unless you factor in hardware effects such as bit flips which will always occur at non-zero probability. Anyways the same is true for people. Neglecting quantum effects, we are of course also made of fully deterministic processes. So to me it’s not so interesting a distinction