Repercussions of artificial intelligence in the Supreme Federal Court: monocratic judgments and the risks of automated decision-making
Repercussions of artificial intelligence in the Supreme Federal Court: monocratic judgments and the risks of automated decision-making
DOI:
https://doi.org/10.51473/rcmos.v1i2.2025.1308Keywords:
Artificial Intelligence – STF – CNJ – Algorithmic Bias – Cybersecurity – Single-Judge DecisionsAbstract
This article analyzes the increasing use of artificial intelligence (AI) systems in the Federal Supreme Court (STF), with a special focus on single-judge decisions and the impacts of Resolutions No. 332/2020 and No. 615/2025 of the National Council of Justice (CNJ). The research begins with the observation that such technologies, while promoting speed and procedural efficiency, also bring significant risks related to decision-making transparency, algorithmic biases, and institutional cybersecurity. In this context, the aim is to assess the extent to which technological modernization can coexist with constitutional guarantees of due process and judicial impartiality. The analysis is enriched by international experiences, such as the use of virtual judges in Estonia, China’s digital courts, and the European Union’s ethical guidelines for trustworthy AI. These examples show that the adoption of technology must necessarily be conditioned on the existence of robust governance and auditing mechanisms. In Brazil, Resolution No. 332/2020 marked an initial milestone by establishing principles such as transparency, non-discrimination, and human accountability. Later, Resolution No. 615/2025 reinforced aspects of algorithmic explainability, independent auditing, and digital security protocols, aligning with international standards such as the NIST Cybersecurity Framework. It is concluded that the incorporation of AI in the STF is inevitable but must be regulated in a way that balances innovation with the preservation of fundamental rights. Digital justice will only be legitimate if guided by transparency, security, and social oversight, ensuring that technology becomes an ally of democracy rather than a threat to its integrity.
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References
BRASIL. Conselho Nacional de Justiça. Resolução nº 332, de 21 de agosto de 2020. Dispõe sobre a ética, a transparência e a governança na utilização de inteligência artificial no Poder Judiciário.
BRASIL. Conselho Nacional de Justiça. Resolução nº 615, de 7 de maio de 2025. Estabelece normas complementares para o uso seguro e responsável da inteligência artificial no Poder Judiciário, com foco em segurança cibernética e mitigação de vieses.
Constituição da República Federativa do Brasil de 1988.
Revista de Processo, vol. 285/2018, p. 421–447. Artificial intelligence and procedural law: algorithmic bias and the risks of assignment of decision-making function to machines.
Jurisprudência do STF. Disponível em: https://jurisprudencia.stf.jus.br/.
NIST Cybersecurity Framework. National Institute of Standards and Technology (EUA), 2018.
BARROSO, Luís Roberto. Curso de direito constitucional contemporâneo: os conceitos fundamentais e a construção do novo modelo. 8. ed. São Paulo: Saraiva Educação, 2020.
BRASIL. Lei nº 13.709, de 14 de agosto de 2018 (Lei Geral de Proteção de Dados Pessoais - LGPD). Disponível em: http://www.planalto.gov.br/ccivil_03/_ato2015-2018/2018/lei/l13709.htm.
O'NEIL, Cathy. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. New York: Crown Publishing Group, 2016.
PASQUALE, Frank. The Black Box Society: The Secret Algorithms That Control Money and Information. Cambridge: Harvard University Press, 2015. DOI: https://doi.org/10.4159/harvard.9780674736061
Projeto de Lei nº 2338, de 2023. Institui a Lei de Inteligência Artificial Brasileira e altera a Lei nº 13.709, de 14 de agosto de 2018 (Lei Geral de Proteção de Dados Pessoais)em: https://www.camara.leg.br/proposicoesWeb/fichadetramitacao?idProposicao=2387005.
SUSSKIND, Richard. Online Courts and the Future of Justice. Oxford: Oxford University Press, 2019. DOI: https://doi.org/10.1093/oso/9780198838364.001.0001
ZUBOFF, Shoshana. The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. New York: PublicAffairs, 2019.
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Copyright (c) 2025 Elival Tomaz Santos Júnior, Tatiana do Nascimento da Silva, Paulo Queiroz (Autor)

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