The stories of bias in AI are everywhere: Amazon’s recruiting tool, Apple’s credit card limits, Google’s facial recognition, and dozens more. The quick solution is just to blame the algorithm and its designers. But it’s not a question of whether or not you have bias in your institution, but rather how you plan to handle it. In part 2 of 2 of this latest Data Science Central podcast, ‘How to Star…
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