Policiamento Preditivo e Direitos Humanos na Amazônia: Entre a Inovação Tecnológica e a Vulnerabilização das Periferias

• DOI: https://doi.org/10.22533/at.ed.433142508077

• Palavras-chave: Amazônia urbana; Direitos humanos; Governança de dados; Injustiça algorítmica; Policiamento preditivo.

• Keywords: Algorithmic injustice; Data governance; Human rights; Predictive policing; Urban Amazon;

• Abstract: The advancement of predictive policing in Brazil, driven by artificial intelligence and data analysis technologies, has raised concerns about its impact in contexts marked by structural inequality. This chapter critically analyzes the application of such tools in the urban Amazon, a territory characterized by informal settlements, institutional invisibility, and historically selective penal practices directed at peripheral and racialized populations. The objective is to investigate the extent to which the use of algorithms in public security may aggravate processes of automated criminalization and violations of fundamental rights. The rationale for this research lies in the absence of national regulatory frameworks to guide the ethical use of these technologies, as well as the urgency of incorporating legal safeguards that consider the socio-spatial specificities of the Amazon. The methodology adopted involves a critical review of national and international literature, highlighting works by O’Neil (2017), Eubanks (2018), Richardsone et al. (2019), and documents from the Brazilian Public Security Forum, in addition to the analysis of regulatory experiences such as the SyRI case in the Netherlands and the European GDPR. The results indicate concrete risks of algorithmic injustice, reinforcement of state selectivity, and privacy violations. The chapter concludes that, in the absence of social and legal oversight, predictive policing tends to intensify pre-existing inequalities. It ultimately proposes guidelines for algorithmic governance compatible with democratic principles and human rights.