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New article by Bill Vorhies.
Summary: There is a great hue and cry about the danger of bias in our predictive models when applied to high significance events like who gets a loan, insurance, a good school assignment, or bail. It’s not as simple as it seems and here we try to take a more nuanced look. The result is not as threatening as many headlines make it seem.
Holy smokes! The sky is falling. There’s even an entire conference dedicated to the topic: the conference on Fairness, Accountability, and Transparency (FAT* – it’s their acronym, I didn’t make this up) now in its fifth year.
Read full article here.