Once we detect bias, what can we do about it? One way of removing bias from an algorithm is to edit the training data until the training data no longer shows the bias we’re concerned about.27 We might be changing some loan applications from the “rejected” to the “accepted” category, for example, or we might selectively leave some applications out of our training data altogether. This is known as preprocessing. The key to all this may be human oversight. Because AIs are so prone to unknowingly solving the wrong problem, breaking things, or taking unfortunate shortcuts, we need people to make
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