What limitation centers on the difficulty of interpreting *how* highly effective models, like deep learning networks, arrive at a specific prediction?
Answer
The black box problem
The black box problem refers to the lack of interpretability where the internal mechanics of how a model produced an output are opaque, making justification difficult for decision-makers, especially in regulated scenarios.
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