How to Eliminate Bias in Data-Driven Marketing

A common misstep is not being upfront about limitations in methodology

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Problems with data bias are well-documented, from an image recognition algorithm that identified black users as gorillas to language translation services that referred to engineers as male and nurses as female.

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This story first appeared in the April 16, 2018, issue of Adweek magazine. Click here to subscribe.

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