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Decisão judicial assistida por inteligência artificial e o Sistema Victor do Supremo Tribunal Federal

  • Identification data

    Identifier: imarina:9363763
    Handle: https://hdl.handle.net/20.500.11797/imarina9363763
    Authors:
    Vivian Cristina Lima López ValleJosep Ramon Fuentes i GasóAttílio Martins Ajus
    Abstract:
    The digitization of judicial processes and the modernization of court systems have propelled the use of artificial intelli-gence in the Judiciary, particularly due to the backlog of cases in higher courts. Project Victor, led by the Supreme Fe-deral Court (STF) in collaboration with the University of Bra-sília, aims to automate the categorization of Extraordinary Appeals based on themes of General Relevance. However, implementing AI in the public sector requires adherence to constitutional principles such as legality, impartiality, morality, transparency, and efficiency. The study addresses the conflict between efficiency and legality principles regar-ding the use of the Victor program. Research encompasses the history and types of AI, machine learning methods, and analysis of AI software in Brazilian courts. Results highlight Victor’s efficiency while noting issues like inadequate deci-sion summaries. The conclusion underscores the need for transparency in AI use and suggests adding case notes to electronic processes indicating Victor’s intervention for po-tential revisions.

  • Others:

    Author, as appears in the article.: Vivian Cristina Lima López Valle; Josep Ramon Fuentes i Gasó; Attílio Martins Ajus
    Department: Dret Públic
    URV's Author/s: Fuentes Gasó, Josep Ramon
    Abstract: The digitization of judicial processes and the modernization of court systems have propelled the use of artificial intelli-gence in the Judiciary, particularly due to the backlog of cases in higher courts. Project Victor, led by the Supreme Fe-deral Court (STF) in collaboration with the University of Bra-sília, aims to automate the categorization of Extraordinary Appeals based on themes of General Relevance. However, implementing AI in the public sector requires adherence to constitutional principles such as legality, impartiality, morality, transparency, and efficiency. The study addresses the conflict between efficiency and legality principles regar-ding the use of the Victor program. Research encompasses the history and types of AI, machine learning methods, and analysis of AI software in Brazilian courts. Results highlight Victor’s efficiency while noting issues like inadequate deci-sion summaries. The conclusion underscores the need for transparency in AI use and suggests adding case notes to electronic processes indicating Victor’s intervention for po-tential revisions.
    Thematic Areas: Direito Dret Interdisciplinar Interdisciplinary research in the social sciences Law Political sciences and international relations Sociology and political science
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: josepramon.fuentes@urv.cat
    Author identifier: 0000-0001-5669-6009
    Record's date: 2024-07-27
    Papper version: info:eu-repo/semantics/publishedVersion
    Papper original source: Revista De Investigações Constitucionais. 10 (2):
    APA: Vivian Cristina Lima López Valle; Josep Ramon Fuentes i Gasó; Attílio Martins Ajus (2023). Decisão judicial assistida por inteligência artificial e o Sistema Victor do Supremo Tribunal Federal. Revista De Investigações Constitucionais, 10(2), -
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2023
    Publication Type: Journal Publications

  • Keywords:

    Law,Sociology and Political Science
    Direito
    Dret
    Interdisciplinar
    Interdisciplinary research in the social sciences
    Law
    Political sciences and international relations
    Sociology and political science

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