Machines are becoming increasingly accurate in everything from facial recognition to diagnosing cancer. And while these are all technological marvels, it puts the humans who created them in the difficult position of accepting results without truly understanding how they were achieved. Cliff Kuang talks about problems that arise when artificial intelligence outpaces human understanding. His story “Can A.I. be Taught to Explain Itself?” appears in The New York Times magazine.
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