Manage AI Bias Instead of Trying to Eliminate It
To remediate the bias built into AI data, companies can take a three-step approach.
Businesses and governments must face an uncomfortable truth: Artificial intelligence is hopelessly and inherently biased.
Asking how to prevent such bias is in many ways the wrong question, because AI is a means of learning and generalizing from a set of examples — and all too often, the examples are pulled straight from historical data. Because biases against various groups are embedded in history, those biases will be perpetuated to some degree through AI.
Traditional and seemingly sensible safeguards do not fix the problem. A model designer could, for example, omit variables ...
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