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Ai Systems - What Are the Most Important, Least Tractable?
A i systems could fail, potentially in unexpected ways due to a variety of causes including faulty training data and improperly designed human machine interfaces. Ai systems can be quite effective ant performing various tasks, but then when they're faced with some kind of novelty, they often break badly. They don't handle outer distribution examples very well if they're facing something in the real world that's not consistent with their training data.