O USO DE MODELOS DE LINGUAGEM DE INTELIGÊNCIA ARTIFICIAL NOS PROCESSOS JUDICIAIS: ASPECTOS INFORMACIONAIS E LEGAIS
Resumo
Objetivo: O objetivo do artigo é investigar os fundamentos informacionais e legais para o uso de modelos de linguagem de inteligência artificial para a análise de decisões judiciais. Nesse contexto, são analisadas a legislação internacional sobre o uso de IA e as tendências atuais na digitalização dos processos judiciais. São estudadas as possibilidades de utilização de ferramentas inovadoras de inteligência artificial para extração e análise automatizadas de decisões judiciais.
Metodologia: Para alcançar os objetivos da pesquisa, é utilizada uma abordagem multidisciplinar, combinando uma análise crítica comparativa da legislação existente sobre o uso de inteligência artificial na prática judicial e uma análise empírica de decisões judiciais com base em modelos de linguagem de inteligência artificial.
Resultados: Foi desenvolvido um modelo informacional que utiliza ferramentas inovadoras de inteligência artificial para fornecer um suporte informacional confiável para a tomada de decisões judiciais fundamentadas.
Contribuições: É proposta uma abordagem autoral para a automação da análise de decisões judiciais com base na síntese de parsing e modelos de linguagem de inteligência artificial. O modelo desenvolvido para criação automatizada de uma coleção de textos e extração de informações relevantes de decisões judiciais pode melhorar significativamente a eficiência na tomada de decisões e pode ser facilmente implementado no sistema unificado de informações sobre processos judiciais na Ucrânia e na UE.
Palavras-chave
Texto completo:
PDFReferências
ABLAMSKYI, S. Ye., HAVRYLIUK, L. V.; DROZD, V., G.; NENIA, O. V. (2021). Substantial Violation of Human Rights and Freedoms as a Prerequisite for Inadmissibility of Evidence. Justicia, 26(39), 47-56. https://doi.org/10.17081/just.26.39.4819
ABLAMSKYI, S.; MUZYCHUK, O.; D’ORIO, E.; ROMANIUK, V. (2023). Taking biological samples from a person for examination in criminal proceedings: correlation between obtaining evidence and observing human rights. Brazilian Journal of International Law, 1(2)0, 194-212. https://doi.org/10.5102/rdi.v20i1.8859
AMMAR, A.; KOUBAA, A.; BENJDIRA, B.; NACAR, O.; SIBAEE, S. (2024). Prediction of Arabic Legal Rulings Using Large Language Models. Electronics 13, 764. https://doi.org/10.3390/electronics13040764
AL-WESABI, F.N.; ALSHAHRANI, H.J.; OSMAN, A.E.; ABD ELHAMEED, E.S. (2023). Low-Resource Language Processing Using Improved Deep Learning with Hunter–Prey Optimization Algorithm. Mathematics, 11:4493. https://doi.org/10.3390/math11214493
ALCÁNTARA FRANCIA, O.A.; NUNEZ-DEL-PRADO, M.; ALATRISTA-SALAS, H. (2022). Survey of Text Mining Techniques Applied to Judicial Decisions Prediction. Appl. Sci., 12: 10200. https://doi.org/10.3390/app122010200
BEREZKA, K.; KOVALCHUK, O.; BANAKH, S.; ZLYVKO, S.; HRECHANIUK, R. (2022). A Binary Logistic Regression Model for Support Decision Making in Criminal Justice. Folia Oeconomica Stetinensia. 22 (1), 1-17. https://doi.org/10.2478/foli-2022-0001
CHANG, K.-H. (2023). Natural Language Processing: Recent Development and Applications. Appl. Sci., 13:11395. https://doi.org/10.3390/app132011395
DIAS CANEDO, E.; AYMORÉ MARTINS, V.; COELHO RIBEIRO, V.; dos REIS, V.E.; CARVALHO CHAVES, L.A.; MACHADO GRAVINA, R.; ALBERTO MOREIRA DIAS, F.; LOPES de MENDONÇA, F.L.; OROZCO, A.L.S.; BALANIUK, R.; et al. (2021). Development and Evaluation of an Intelligence and Learning System in Jurisprudence Text Mining in the Field of Competition Defense. Appl. Sci., 11:11365. https://doi.org/10.3390/app112311365
EBERS, M.; HOCH, V. R. S.; ROSENKRANZ, F.; RUSCHEMEIER, H.; STEINRÖTTER, B. (2021). The European Commission’s Proposal for an Artificial Intelligence Act—A Critical Assessment by Members of the Robotics and AI Law Society (RAILS). Multidisciplinary Scientific Journal, 4(4), 589-603. https://doi.org/10.3390/j4040043
EUROPEAN COMMISSION (2021). Proposal for a Regulation Laying down Harmonised Rules on Artificial Intelligence (Artificial Intelligence Act). European Commission: Brussels, Belgium, 2021. Retrieved from: https://digital-strategy.ec.europa.eu/en/library/proposal-regulation-laying-down-harmonised-rules-artificial-intelligence
EUROPEAN PARLIAMENT. Artificial Intelligence Act: MEPs adopt landmark law. 13.03.2024. Retrieved from: https://www.europarl.europa.eu/news/en/press-room/20240308IPR19015/artificial-intelligence-act-meps-adopt-landmark-law?fbclid=IwAR3AlmH2S-WnMT0JkxzzJOuIWvQGjVM_6Nphh8WQ0f4uEObJGefaOM6qMW0_aem_AccH7orbASFr7RPJZYcYjTiQHrEcU94OShEKN3Y1btUbEhlcpQFQQR_mvnZiOba9ulsU109L4dH0AeU3rjwEzJhT
HANNON, B.; KUMAR, Y.; GAYLE, D.; LI, J.J.; MORREALE, P. (2024). Robust Testing of AI Language Model Resiliency with Novel Adversarial Prompts. Electronics, 13:842. https://doi.org/10.3390/electronics13050842
KRASADAKIS, P.; SAKKOPOULOS, E.; VERYKIOS, V.S. A (2024). Survey on Challenges and Advances in Natural Language Processing with a Focus on Legal Informatics and Low-Resource Languages. Electronics, 13:648. https://doi.org/10.3390/electronics13030648
KOVALCHUK, O.; BANAKH, S.; MASONKOVA, M.; BEREZKA, K.; MOKHUN, S.; FEDCHYSHYN O. (2022). Text Mining for the Analysis of Legal Texts. In Proceedings of the 12th International Conference on Advanced Computer Information Technologies (Ruzomberok, Slovakia, 26-28 Sept. 2022), 502-505.
KOVALCHUK, O.; TEREMECKYI, V. (2023). Informational and Legal Support of the Justice System. Scientific notes. Series: Law, 15, 271-278. https://doi.org/10.36550/2522-9230-2023-15-271-278
KOVALCHUK, O.; BANAKH, S. (2024). Problem-oriented approach to the formation of information support for judicial and law enforcement agencies. Actual problems of jurisprudence, 4, 72-78.
Kryminalnyi kodeks Ukrainy: Zakon Ukrainy № 2341-III vid 05.04.2001 [Criminal Code of Ukraine: Law of Ukraine No. 2341-III dated Apr 5, 2001]. Retrieved from: https://kodeksy.com.ua/kriminal_nij_kodeks_ukraini/statja-67.htm
LOZANO-MURCIA, C.; ROMERO, F.P.; SERRANO-GUERRERO, J.; PERALTA, A.; OLIVAS, J.A. (2024). Potential Applications of Explainable Artificial Intelligence to Actuarial Problems. Mathematics, 12:635. https://doi.org/10.3390/math12050635
MAKRIDAKIS, S.; PETROPOULOS, F.; KANG, Y. (2023). Large Language Models: Their Success and Impact. Forecasting, 5, 536-549. https://doi.org/10.3390/forecast5030030
MATHIS, B. (2022). Extracting Proceedings Data from Court Cases with Machine Learning. Stats., 5, 1305-1320. https://doi.org/10.3390/stats5040079
NAY. J.J. (2023). Large Language Models as Fiduciaries: A Case Study Toward Robustly Communicating with Artificial Intelligence Through Legal Standards. Cornell University.
https://doi.org/10.48550/arXiv.2301.10095
PARK, M.; CHAI, S. (2021). AI Model for Predicting Legal Judgments to Improve Accuracy and Explainability of Online Privacy Invasion Cases. Appl. Sci., 11:11080. https://doi.org/10.3390/app112311080
Zakon Ukrainy № 228-IV “Pro Kontseptsiiu Zahalnoderzhavnoi prohramy adaptatsii zakonodavstva Ukrainy do zakonodavstva Yevropeiskoho” vid 21 lystopada 2002 roku [Law of Ukraine No. 228-IV “On the Concept of the National Program for Adaptation of Ukraine's Legislation to the Legislation of the European Union” dated Nov 21, 2002]. Retrieved from: https://zakon.rada.gov.ua/laws/show/228-15#Text
Zakon Ukrainy № 3262-IV “Pro dostup do sudovykh rishen” vid 22.12.2005 [Law of Ukraine No. 3262-IV “On Access to Court Decisions” dated Dec 22, 2005]. Retrieved from: https://ips.ligazakon.net/document/T053262
Zakon Ukrainy № 1774-VIII “Pro sudoustrii i status suddiv” vid 12.06.2016. [Law of Ukraine No. 1774-VIII “On the Judiciary and Status of Judges” dated June 12, 2016]. Retrieved from: https://zakononline.com.ua/documents/show/386816___672615
ScienceDirect (2024). Natural Language Generation. Retrieved from: https://www.sciencedirect.com/topics/social-sciences/natural-language-generation.
Postanova Kabinetu Ministriv Ukrainy № 740 “Pro zatverdzhennia Poriadku vedennia Yedynoho derzhavnoho reiestru sudovykh rishen” vid 25.05.2006 [Resolution of the Cabinet of Ministers of Ukraine No. 740 “On Approval of the Procedure for Maintaining the Unified State Register of Court Decisions” dated May 25, 2006]. Retrieved from: https://zakon.rada.gov.ua/laws/show/740-2006-%D0%BF#Text
TEREMETSKYI, V.I.; DULIBA, YE.V. (2023). Peculiarities of Implementation and Functioning of the Unified Judicial Information and Telecommunication System as an E-Justice Tool. Forum Prava, 75(2), 130-143. https://doi.org/10.5281/zenodo.7947514
SLIVNIK, B.; MERNIK, M. (2023). On Parsing Programming Languages with Turing-Complete Parser. Mathematics, 11:1594. https://doi.org/10.3390/math11071594
TZIMAS, T. (2021). Legal and Ethical Challenges of Artificial Intelligence from an International Law Perspective. Springer: Cham, Switzerland, 9-32.
Yedynyi derzhavnyi reiestr sudovykh rishen [Unified register of pre-trial investigations] (2024, March). Recovered from: https://erdr.gp.gov.ua
UNITED NATION. Global Digital Compact: zero draft (2024). Retrieved from: https://www.un.org/techenvoy/global-digital-compact/submissions
DOI: http://dx.doi.org/10.26668/revistajur.2316-753X.v2i78.6928
Apontamentos
- Não há apontamentos.
Revista Jurídica e-ISSN: 2316-753X
Rua Chile, 1678, Rebouças, Curitiba/PR (Brasil). CEP 80.220-181