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. And just as bias found its way into these data sets, so, too, can it sometimes be found in the models marketers use to…
Source: Ad Week – AD & Brand News
