MACHINE LEARNING TECHNOLOGIES IN LEGISLATIVE ACTIVITIES: ANALYTICAL AND PREDICTIVE POTENTIAL
Keywords:
Legislative activity, Machine learning technology, Machine learning algorith, DiscriminationAbstract
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
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