Carnaval pra quem? : Racismo algorítmico, vigilância e apartheid à brasileira no carnaval de Salvador/BA.

Abstract

The work addresses the use of facial recognition technology as a public security tool in the context of the Salvador Carnival, highlighting issues related to algorithmic racism, selective surveillance, and the perpetuation of social inequalities. The main objective of the research is to critically analyze the implementation of this technology, considering its discriminatory biases, its supposed operational efficiency and effectiveness, and its socio-legal implications. The methodology employed combines an interdisciplinary approach, integrating perspectives from legal dogmatics, criminology, and computer science, with a comprehensive bibliographic and documentary review. The research focuses on the period from 2019 to 2024, excluding the years 2021 and 2022 due to the pandemic. The results show that, in addition to technical flaws, the application of this technology during Carnival reinforces historical discriminatory practices and deepens social segregation, contributing to the maintenance of a status quo that favors whiteness and cisheteronormativity. The research also highlights the lack of transparency on the part of the authorities in disclosing data and efficiency metrics. Thus, the implementation of this technology in the Salvador Carnival, under the guise of public security, proves to be more harmful than beneficial, exacerbating inequalities and further marginalizing black people, especially black women, transgender individuals, and the poor.