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!
Can you explain how humans are non-deterministic from that point of view? Isn’t this more of a philosophical/physics question than it is a computer science one? In my view, it’s all deterministic. The whole lot of it. Both brains and computers are deterministic. I’m not really fully understanding the distinction. Neurons perform calculations like this as well, taking the graded sum of potentials etc…