When humans predict something, it’s basically an educated guess, based on our experiences. When a machine makes a prediction, it uses data and math. And we are increasingly relying on machine prediction to help make decisions in everything from banking to insurance to education. But Meredith Broussard, a professor from New York University, argues that this has all gone too far, especially when you look at what data are being used in machine predictions. And that the “futures” that machines predict should be taken with large grains of salt.

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