Technology is an essential part of our everyday life. We rely on it to help us navigate our  finance, employment, housing, health care and purchases, among other things.  But, perhaps unknowingly, we may be impacted by algorithmic bias, in which systematic repeatable errors in AI treat members of some groups differently than others.    In part two of our look at algorithmic bias, we delve further into what consumers and companies can do about it. 

 A conversation with, Kalinda Ukanwa, an Assistant Professor of Marketing at USC’s Marshall School of Business. and Amanda Bower, a machine learning researcher at Twitter.