Decolonizing Codes: Indigenous Literature in Dialogue with Artificial Intelligence

Abstract

This article analyzes the potentialities and challenges of dialogue between contemporary Indigenous literature and Artificial Intelligence (AI) technologies from a decolonial perspective. The central objective is to investigate how AI can interact with Indigenous epistemologies without reproducing colonialist logics of cultural erasure. Methodologically, a qualitative approach is adopted, based on bibliographic and analytical-discursive procedures, grounded in decolonial theories and works by Indigenous authors such as Daniel Munduruku, Eliane Potiguara, and Ailton Krenak. Results indicate that, although current algorithms tend to reinforce hegemonic biases in interpreting Indigenous narratives, productive possibilities exist when technological development incorporates ethical principles of consultation, co-production, and digital sovereignty for communities. It is concluded that decolonizing dialogue between Indigenous literature and AI requires not only technical adjustments, but an epistemological reorientation that recognizes the pluriversality of knowledge. As a contribution, the study proposes guidelines for intercultural pedagogical practices and for the responsible development of digital tools in Indigenous school education contexts, aligning with the interdisciplinary focus of Revista Taka'a.