MACHINE LEARNING TECHNOLOGIES IN LEGISLATIVE ACTIVITIES: ANALYTICAL AND PREDICTIVE POTENTIAL
Palavras-chave:
Legislative activity, Machine learning technology, Machine learning algorith, DiscriminationResumo
Growing automation in the spheres of public administration predetermines the need to form a doctrinal and applied understanding of its consequences in different manifestations. The introduction of information technologies into legislation is only one direction of forming and developing a digital state, which is among the most important phenomena. This study is based on the dialectical approach and a combination of general and specific scientific methods of cognition and comprehension. The article considers the use of such algorithms in various spheres that are often unrelated to lawmaking.
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Copyright (c) 2020 Ph. D. (c) Sergey Zenin, Ph. D. (c) Osman Izhaev, Ph. D. (c) Dmitry Kuteynikov, Ph. D. (c) Ivan Yapryntsev
Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.
Os autores retêm os direitos autorais e concedem à Revista Inclusiones o direito de publicação sob Creative Commons Attribution 4.0 International (CC BY 4.0). Isso permite o uso, distribuição e reprodução em qualquer meio, desde que a devida atribuição seja concedida ao autor.
