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Until your model starts misdiagnosing people in real life because your training data wasn't 100% perfect (which it never will be for complex real-life problems)
by romaniv 10y ago
Until your model starts misdiagnosing people in real life because your training data wasn't 100% perfect (which it never will be for complex real-life problems).
https://vimeo.com/125940125 https://vimeo.com/125940125
The problem with unexplainable AI isn't just the lack of explanations. It's the fact that the entire model is a black box, so you cannot somehow tweak a single part of it without retraining.