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Also AI is not necessarily a deterministic system which has predictable results.
It is deterministic in that given the same input the same output will be created, however it is not predictable since how the result is arrived at is generally too complex for a human to understand given all the weightings and dependencies of those weightings.
I am sure someone else could explain it much better than me but I remember reading somewhere about an AI system that was trained to recognise pictures of cats and one pixel being different could make the difference between the image being recognised or not as a cat.
Debugging complex systems is hard enough - how do you debug a neural network?
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