Algorithms and rationality in criminal investigation: a possible relation

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Authors

  • Marcella Mascarenhas Nardelli Universidade Federal de Juiz de Fora - UFJF - Juiz de Fora/MG
  • Fabiana Alves Mascarenhas Faculdade UNIVERTIX - UNIVERTIX - Três Rios/RJ

Keywords:

Criminal investigation, Artificial Intelligence, Criminal Evidence

Abstract

This article starts from the premise that criminal investigation needs to be developed under epistemic parameters, with support in valid reasoning methods capable of guiding the fact-finding activity. In order to reduce the distorting effects of cognitive biases that commonly affect the trier of fact and to provide better conditions for achieving the outlined ideal, it is suggested that artificial intelligence can offer interesting tools to assist and make the activity more rational and less subject to errors, in order to contribute with more responsible accusations and better conditions to criminal defense.

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Author Biographies

Marcella Mascarenhas Nardelli, Universidade Federal de Juiz de Fora - UFJF - Juiz de Fora/MG

Doutora em Direito Processual pela UERJ e mestre em Políticas Públicas e Processo pela Faculdade de Direito de Campos. Professora de Direito Processual Penal da UFJF. Lattes CV: http://lattes.cnpq.br/8197471261339030

Fabiana Alves Mascarenhas, Faculdade UNIVERTIX - UNIVERTIX - Três Rios/RJ

Doutora e mestre em Sociologia e Direito pela UFF. Professora de Direito Processual pela UNIVERTIX. Lattes CV: http://lattes.cnpq.br/3671661590097981

References

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FINDLEY, K. A.; SCOTT, M. S. The Multiple Dimensions of Tunnel Vision in Criminal Cases. Wisconsin Law Review, n. 2, 2006, p. 292.

FINDLEY, K. A.; SCOTT, M. S. The Multiple Dimensions of Tunnel Vision in Criminal Cases. Wisconsin Law Review, n. 2, 2006, p. 292.

MACHADO, Leonardo Marcondes. Investigação criminal exige base epistemológica e fundamento democrático. Consultor Jurídico, 2020. Acesso em: https://www.conjur.com.br/2020-abr-07/academia-policia-investigacao-criminal-exige-base-epistemologica-democratica. Acesso em: 7 set. 2020.

MATIDA, Janaina; MOSCATELLI, Lívia. Justiça como Humanidade na construção de uma investigação preliminar epistêmica. Consultor Jurídico, 2020. Disponível em: https://www.conjur.com.br/2020-ago-14/limite-penal-construcao-investigacao-preliminar-epistemica. Acesso em: 6 set. 2020.

MORAIS DA ROSA, Alexandre. Guia do Processo Penal conforme a Teoria dos Jogos. 6ª ed. Florianópolis: EMais, 2020, p. 683. Ver também: IMPROVÁVEL EP. 2. A perda de uma chance no contexto probatório. Por: com Janaina Matida. EMais: Florianópolis, fev. 2020. Podcast. Disponível em: https://soundcloud.com/improvavel-podcast/improvavel-ep-2-a-perda-de-uma-chance-no-contexto-probatorio. Acesso em: 6 set. 2020.

NIEVA FENOLL, Jordi. Inteligencia Artificial e Proceso Judicial. Madri: Marcial Pons, 2018.

NISSAN, Ephraim. Legal evidence and advanced computing techniques for combatting crime: an overview. Information & Communications Technology Law, v. 22, n. 3, nov. 2013.

TUZET, Giovanni. Filosofia della prova giuridica. Torino: G. Giappichelli Editore, 2013, p. 120.

TWINING, William. The Rationalist Tradition The Rationalist Tradition of evidence scholarship. In: TWINING, William. Rethinking Evidence: exploratory essays. 2. ed. Cambridge: Cambridge University Press, 2006, p. 78.

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Published

2024-01-11

How to Cite

Mascarenhas Nardelli, M., & Alves Mascarenhas, F. (2024). Algorithms and rationality in criminal investigation: a possible relation. Boletim IBCCRIM, 28(335), 14–17. Retrieved from https://publicacoes.ibccrim.org.br/index.php/boletim_1993/article/view/907

Issue

Vol. 28 No. 335 (2020): Boletim IBCCRIM - Outubro

Section

Doutrina

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