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!
Well every computer has a chance due to physical interaction to make a random error in any algorithm.
So for sure there must be a random element in the output of the model as long as you calculate it on real hardware.