{"title":"深度学习与解释权：对合法性和正当法律程序的技术挑战","authors":"Mateus de Oliveira Fornasier","doi":"10.26668/indexlawjournals/2358-1352/2022.v32i12.7547","DOIUrl":null,"url":null,"abstract":"RESUMO: This article studies the right to explainability, which is extremely important in times of fast technological evolution and use of deep learning for the most varied decision-making procedures based on personal data. Its main hypothesis is that the right to explanation is totally linked to the due process of Law and legality, being a safeguard for those who need to contest automatic decisions taken by algorithms, whether in judicial contexts, in general Public Administration contexts","PeriodicalId":30997,"journal":{"name":"Revista de Direito Brasileira","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"DEEP LEARNING AND THE RIGHT TO EXPLANATION: TECHNOLOGICAL CHALLENGES TO LEGALITY AND DUE PROCESS OF LAW\",\"authors\":\"Mateus de Oliveira Fornasier\",\"doi\":\"10.26668/indexlawjournals/2358-1352/2022.v32i12.7547\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"RESUMO: This article studies the right to explainability, which is extremely important in times of fast technological evolution and use of deep learning for the most varied decision-making procedures based on personal data. Its main hypothesis is that the right to explanation is totally linked to the due process of Law and legality, being a safeguard for those who need to contest automatic decisions taken by algorithms, whether in judicial contexts, in general Public Administration contexts\",\"PeriodicalId\":30997,\"journal\":{\"name\":\"Revista de Direito Brasileira\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Revista de Direito Brasileira\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.26668/indexlawjournals/2358-1352/2022.v32i12.7547\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista de Direito Brasileira","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26668/indexlawjournals/2358-1352/2022.v32i12.7547","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
DEEP LEARNING AND THE RIGHT TO EXPLANATION: TECHNOLOGICAL CHALLENGES TO LEGALITY AND DUE PROCESS OF LAW
RESUMO: This article studies the right to explainability, which is extremely important in times of fast technological evolution and use of deep learning for the most varied decision-making procedures based on personal data. Its main hypothesis is that the right to explanation is totally linked to the due process of Law and legality, being a safeguard for those who need to contest automatic decisions taken by algorithms, whether in judicial contexts, in general Public Administration contexts
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