this post was submitted on 21 Nov 2023
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Machine Learning

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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!

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An AI system (or for simplicity) an agent, can output an stochastic policy. (I.e., in a tennis match, use your backhand 60% of the time). But for the same input sequence, the same network will always reach the same outcome, which is deterministic.

I think the smartest response in your discussion with your teacher is to clarify what is and what isn't an AI system. If sampling from a stochastic distribution is within the AI box, it might well be stochastic to an observer.