Bianca Kremer is an assistant professor and project leader at the Faculty of Law of IDP University (Brazil), where she teaches Digital Rights and New Technologies Regulation for the undergraduate and graduate Programs. A consistent thread running through her research agenda is the mitigation of algorithmic bias and discrimination—and the role that the law has to play in that clash. Her PhD analyzes how automated systems can perpetuate and/or increase racism and sexism in multiple spheres, and her research to date deals with developing anti-discrimination methodologies for AI applications involving biometric technologies.

Project: Economic losses induced by algorithmic racism in Brazil

Kremer is investigating the economic losses in Brazil caused by algorithmic racism in the platform economy. By collecting socioeconomic data and indicators, Kremer seeks to unveil the correlation between Brazil’s technological inefficiency, underdevelopment, and the reproduction of contemporary forms of racism in new technological systems and computational methodologies. Her research analyzes the extent to which machine learning algorithms in the platform economy contribute to the exclusion of the Black population from various decision-making processes, leading to technological and productive regression driven by racism. By highlighting how algorithmic racism hampers Brazil’s global productive sophistication, economic complexity, technical capacity, and workforce scalability, Kremer’s work focuses on raising indicators of the economic losses motivated by algorithmic racism—particularly in platform labor and the data-driven economy.