Ethical and institutional dilemmas of using Artificial Intelligence to combat organized crime in the amazon tri-border area

Abstract

What are the ethical, institutional, and operational challenges for the implementation of AI in combating organized crime in the Amazonian Tri-Border Area? This article proposes a critical analysis of these challenges in the context of the region encompassing Brazil, Colombia, and Peru, in activities such as victim identification, dismantling of criminal organizations, and strengthening state response capacity. Characterized by socioeconomic vulnerabilities, low state presence, and the activity of transnational criminal networks, this area represents a significant challenge to public security and the protection of human rights. Adopting an interdisciplinary approach that connects the fields of technology, international relations, security, and fundamental rights, the study identifies the main challenges and local potentialities concerning AI implementation processes in the region. The research is based on a systematic literature review, documentary analysis, and secondary data to map the opportunities and risks of this emerging process. It concludes that the implementation of AI in the Tri-Border Area requires ethical governance, technical capacity building, and robust regulatory frameworks to ensure the protection of vulnerable populations and interstate cooperation.