AI fairness requires fighting bias with bias

AI fairness requires fighting bias with bias

The issue of bias in artificial intelligence is not going away any time soon. Bias is a tricky term in general, and psychiatrists have developed long treatises trying to explain what it is and how it works.

The current discussion around bias in AI, however, is a little off the mark, in large part by declaring that the objective is to remove AI bias altogether. This tends to gloss over two salient facts: one, that there are many types of bias — some good, some bad, depending on your point of view; and two, that bias exists in two separate elements of AI — the algorithm and the training data — but in neither case does it automatically produce an unfair outcome.

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