{"title":"人工智能--Mandamus 项目中的人工智能开发:已开发的专门技术要素","authors":"Cristina Mendes Bertoncini Corrêa, Debora Bonat, Fabiano Hartmann Peixoto","doi":"10.51799/2763-8685v3n2004","DOIUrl":null,"url":null,"abstract":"This paper aims to identify and examine elements of the development and application of Artificial Intelligence (AI) solutions in the context of the Brazilian Judiciary (PJ). The primary focus is on the AI-Mandamus project, a result of the collaboration between the University of Brasília and the Court of Justice of Roraima (TJRR), which aims to generate and issue certain types of judicial orders (warrants) for compliance with determinations made by TJRR judges. The AI-Mandamus was conceived after studies on judicial logistics conducted by the Lab DR.IA at the University of Brasília, in response to one of the bottlenecks identified in the judicial process: the generation, issuance, and execution of judicial orders (warrants). This paper will provide context and applications of AI in the Brazilian justice system, detailing part of the development of AI-Mandamus, which consists of two AI robots that read judicial documents and generate orders, integrating with the central system for their execution. The exploratory methodology of the study was based on primary sources generated during the development of the tool, supplemented by secondary sources to support the decisions of the development team. The relevance of the participation of legal experts in all stages of AI development was demonstrated, as well as its significance as a mechanism for improvements in the forensic routine.","PeriodicalId":171261,"journal":{"name":"Latin American Journal of European Studies","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of artificial intelligence in the AI-Mandamus project: elements of developed know-how\",\"authors\":\"Cristina Mendes Bertoncini Corrêa, Debora Bonat, Fabiano Hartmann Peixoto\",\"doi\":\"10.51799/2763-8685v3n2004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper aims to identify and examine elements of the development and application of Artificial Intelligence (AI) solutions in the context of the Brazilian Judiciary (PJ). The primary focus is on the AI-Mandamus project, a result of the collaboration between the University of Brasília and the Court of Justice of Roraima (TJRR), which aims to generate and issue certain types of judicial orders (warrants) for compliance with determinations made by TJRR judges. The AI-Mandamus was conceived after studies on judicial logistics conducted by the Lab DR.IA at the University of Brasília, in response to one of the bottlenecks identified in the judicial process: the generation, issuance, and execution of judicial orders (warrants). This paper will provide context and applications of AI in the Brazilian justice system, detailing part of the development of AI-Mandamus, which consists of two AI robots that read judicial documents and generate orders, integrating with the central system for their execution. The exploratory methodology of the study was based on primary sources generated during the development of the tool, supplemented by secondary sources to support the decisions of the development team. The relevance of the participation of legal experts in all stages of AI development was demonstrated, as well as its significance as a mechanism for improvements in the forensic routine.\",\"PeriodicalId\":171261,\"journal\":{\"name\":\"Latin American Journal of European Studies\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Latin American Journal of European Studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.51799/2763-8685v3n2004\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Latin American Journal of European Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.51799/2763-8685v3n2004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of artificial intelligence in the AI-Mandamus project: elements of developed know-how
This paper aims to identify and examine elements of the development and application of Artificial Intelligence (AI) solutions in the context of the Brazilian Judiciary (PJ). The primary focus is on the AI-Mandamus project, a result of the collaboration between the University of Brasília and the Court of Justice of Roraima (TJRR), which aims to generate and issue certain types of judicial orders (warrants) for compliance with determinations made by TJRR judges. The AI-Mandamus was conceived after studies on judicial logistics conducted by the Lab DR.IA at the University of Brasília, in response to one of the bottlenecks identified in the judicial process: the generation, issuance, and execution of judicial orders (warrants). This paper will provide context and applications of AI in the Brazilian justice system, detailing part of the development of AI-Mandamus, which consists of two AI robots that read judicial documents and generate orders, integrating with the central system for their execution. The exploratory methodology of the study was based on primary sources generated during the development of the tool, supplemented by secondary sources to support the decisions of the development team. The relevance of the participation of legal experts in all stages of AI development was demonstrated, as well as its significance as a mechanism for improvements in the forensic routine.