Dr. Kalinda Ukanwa is Assistant Professor of Marketing at the University of Southern California. A quantitative modeler, Professor Ukanwa researches how algorithmic bias, algorithmic decision-making, and consumer reputations impact firms. She is the winner of the 2018 Eli Jones Promising Young Scholar Award and a finalist for the 2018 INFORMS Service Science Best Student Paper Award, 2019 Howard/AMA Doctoral Dissertation Award, and the 2020 AMS Mary Kay Doctoral Dissertation Award. In a prior life, Professor Ukanwa was an industrial engineer, financial analyst, and finance executive at Walt Disney, Citigroup, Viacom, and Kaplan.
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Tommy Talks: Why Bias in Your Algorithms Can Hurt Your Demand (The Good News: You Can Fix It)
Professor Kalinda Ukanwa demonstrates that although biased algorithms can actually be profit-enhancing in the short run, they can backfire and lead to a profit-reducing outcome in the long run.