Recent issues around machine learning biases and ethics make it clear that math and data can only take us so far. The recent fake news debacle and the efforts of some top researchers in natural language processing to address it show that sometimes even just defining the problem you're trying to solve is the hardest part. We need human intelligence to decide how and when to use machine intelligence, and the more sophisticated the uses we make of machine intelligence, the more critically we need human intelligence to ensure it's deployed sensibly and safely.
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