Policiamento preditivo e discriminação de raça e classe social : uma análise das experiências dos Estados Unidos e do Brasil

Abstract

The present work addresses predictive policing based on its functionality and the application of predictive tools, highlighting data collection and government treatment through algorithms and Artificial Intelligence (AI), tracing criticisms and observing, in practice, the use of these technologies, as well as their growth and intentions from the perspective of Enemy Criminal Law. The analysis fits into the criminological field, from the perspective of critical criminology, exploring the interests behind technological assumptions with pre-established biases. The study contextualizes the introduction of predictive algorithms in the United States and Brazil, identifying the main tools used and their application in both territories, as well as reflecting on the recent impacts of the introduction of these technologies and future possibilities. A criminological analysis is conducted, considering the developments and racism, focusing on discrimination, as a relevant element for understanding the difficulties in implementing and maintaining predictive systems in the Brazilian context.