Whether overt or unintentional, whether human- or technology-oriented, bias is something that every company must be vigilant about. And while it used to be something you might have to worry about with your employees, today it can be equally pervasive — and problematic — in the algorithms those employees create and the data they use. Although the examples of bias in AI are numerous, one of the more prominent areas where we’ve seen it happen in recent years is in image processing. In this episode, Jon P