The Use of Artificial Intelligence to Combat Corruption.

Autor: Vorontsov, Sergey, Kravchenko, Artur, Ovchinnikov, Alexey, Ponedelkov, Alexander
Předmět:
Zdroj: Media Education / Mediaobrazovanie; 2020, Vol. 60 Issue 4, p757-763, 7p
Abstrakt: The article analyzes the conceptual and institutional aspects of the use of new digital technologies in combating corruption, examines the regulatory and methodological approaches to using artificial intelligence and neural networks to predict and identify corrupt ties and relationships. It is substantiated that the digitalization of public administration and justice helps the society and the state to reach a new level of the fight against corruption. At the same time, the authors record the emergence of new types of corruption, previously unknown to legal science, due to the growing influence of specialists in the field of information technology on various socially significant spheres of public life, management and everyday life. It is shown that modern digital tools are used to develop such a phenomenon as "cyber corruption" and it is proved that currently it is necessary to create adequate social and legal forms of social, political and legal prevention of the development of corruption in the new digital environment and to improve anti-corruption legal policy. Keywords: [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index