No matter how much data they learn, why do artificial intelligence (AI) models often miss the mark on human intent?

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When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm's output matches reality.

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