Artificial intelligence for whose benefit? Kaingang health and resistance in the age of artificial intelligence: an autoethnographic essay

Authors

DOI:

https://doi.org/10.5212/PraxEduc.v.21.27101.079

Abstract

This autoethnographic article aims to reflect on the impacts of artificial intelligence (AI) on the health of Indigenous peoples through the experiences of a Kaingang nurse and medical student. The methodology is grounded in autoethnography, which combines personal experience with critical analysis to examine how life in an Indigenous community, structural racism, and professional experience in Indigenous health shape understandings of emerging technologies. The theoretical framework engages with the concepts of coloniality of power, data colonialism, and Indigenous data sovereignty, as well as discussions on research ethics involving Indigenous peoples and International Labour Organization (ILO) Convention No. 169. The findings indicate that, although AI has the potential to improve health, it may reproduce colonial logics if Indigenous peoples do not participate effectively in the management of their data, making it essential to guarantee information sovereignty and respect for cultural diversity.

Keywords: AI and health. Indigenous health. Autoethnography.

Downloads

Download data is not yet available.

Author Biographies

  • Raiana Jacinto de Moura, Universidade Federal de Santa Catarina

    Discente do curso de Medicina da Universidade Federal de Santa Catarina (UFSC), campus de Curitibanos. Graduada em Enfermagem pelo Instituto Federal do Paraná (IFPR), bolsista do Programa Institucional de Bolsas de Iniciação Científica (Pibic) da UFSC, no projeto “Inteligência artificial na saúde a partir da América Latina: desafios emergentes”, SIGPEX 202501645.

  • Daniel Granada, Universidade Federal de Santa Catarina

    Doutor em Etnologia e História (Université de Paris Ouest Nanterre La Défense/University of Essex), professor do Departamento de Ciências Naturais e Sociais (DCNS) e colaborador do Programa de Pós-Graduação em Saúde Coletiva (PPGSC) da UFSC. Membro da Rede Franco-Latino-Americana de Ética, Bioética e Inteligência Artificial da Organização das Nações Unidas para a Educação, a Ciência e a Cultura (Unesco), do Instituto Nacional de Ciência e Tecnologia (INCT) Brasil Plural (IBP) e da rede de pesquisadores Arandurâ do Mercosul.

Published

2026-09-25

Issue

Section

Dossiê: Ética e Integridade, Inteligência Artificial, Tecnologias de Informação e Comunicação (TICs) e desinformação nas pesquisas em Humanidades

How to Cite

Artificial intelligence for whose benefit? Kaingang health and resistance in the age of artificial intelligence: an autoethnographic essay. Práxis Educativa, [S. l.], v. 21, p. 1–16, 2026. DOI: 10.5212/PraxEduc.v.21.27101.079. Disponível em: https://revistas.uepg.br/index.php/praxiseducativa/article/view/27101. Acesso em: 28 sep. 2026.