How do you approach testing AI and machine learning systems where outputs are non-deterministic? What testing strategies are specific to ML applications?

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Testing AI and machine learning systems requires fundamentally different approaches from traditional software testing because ML systems produce non-deterministic outputs, learn from data rather than explicit programming, and can degrade silently over time without any code…