Artificial intelligence, standardization and the risk of incorrect decision-making by machines
Artificial intelligence, standardization and the risk of incorrect decision-making by machines
DOI:
https://doi.org/10.51473/rcmos.v1i2.2025.1310Keywords:
Artificial Intelligence. Judiciary. STF. CNJ. Algorithmic Biases. Cybersecurity.Abstract
This paper analyzes the impact of the use of Artificial Intelligence (AI) on Brazilian law, focusing on judicial decisions and the regulations promoted by the National Council of Justice (CNJ) through Resolutions No. 332/2020 and No. 615/2025. The study seeks to understand the risks of algorithmic biases, the attribution of decision-making functions to machines, and cyber vulnerability within the Federal Supreme Court (STF), in light of the Federal Constitution, the General Data Protection Law (LGPD), and the Brazilian Civil Rights Framework for the Internet. The research demonstrates that, although AI is essential for modernization and procedural speed, its use requires mechanisms of governance, transparency, and human accountability. The analysis highlights that technology should serve as an auxiliary tool, never a substitute for the judicial function, in order to guarantee the principles of due process, impartiality, and legal certainty.
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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.
BRASIL. Constituição da República Federativa do Brasil de 1988.
BRASIL. Lei nº 13.709, de 14 de agosto de 2018. Lei Geral de Proteção de Dados Pessoais.
BRASIL. Lei nº 12.965, de 23 de abril de 2014. Marco Civil da Internet.
Jurisprudência do Supremo Tribunal Federal. Disponível em: https://jurisprudencia.stf.jus.br/.
NIST Cybersecurity Framework. National Institute of Standards and Technology (EUA), 2018.
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Copyright (c) 2025 Elival Tomaz Santos Júnior, Dione Day Maria Pires Chaves, Paulo Queiroz (Autor)
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