Why does the 'black box' nature of complex models severely limit their adoption in critical fields like law and medicine?
Answer
It is often impossible to trace the exact chain of weighted calculations leading to a high-stakes decision
The lack of explainability (interpretability) means that when an AI makes a consequential decision, human operators cannot audit the specific reasoning process, which is ethically or legally mandatory in many high-stakes domains.
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