On this episode of the Radically Pragmatic podcast, Dr. Kalinda Ukanwa sits down with Jordan Shapiro, PPI’s Data and Economic Policy Analyst, to discuss her new paper entitled, “Breaking Up Big Tech Will Not Prevent Algorithmic Harm to Society.” Dr. Ukanwa and Jordan dive into what algorithms really are and how they’re simultaneously helping and harming consumers. They unpack why breaking up Big Tech is not the solution to the algorithm bias problem, and they explore what actions can be taken to remedy algorithmic harm on a societal level and in your everyday life.
Dr. Kalinda Ukanwa is an Assistant Professor at the University of Southern California’s Marshall School of Business who researches how algorithmic bias, algorithmic decision-making, and consumer reputations impact firms. Follow Dr. Ukanwa on Twitter at @KalindaUkanwa.
Follow Jordan Shapiro, PPI’s Data and Economic Policy Analyst on Twitter at @jd_shapiro.
Read the report here.
Learn more about the Mosaic Economic Project here.
Learn more about the Progressive Policy Institute here.