BEST PRACTICES IN THE USE OF DIGITAL TECHNOLOGIES AND ARTIFICIAL INTELLIGENCE TO FIGHT CORRUPTION

Abstract

Artificial intelligence technologies, machine learning, and big data analysis are increasingly used to improve anti-corruption systems globally. Establishing international standards and cooperation at the international level allows forming a basis for reducing the manifestations of business misconduct in the global dimension. Innovative methods and algorithms for processing big data allow identifying anomalies, establishing patterns of informal relationships, as well as minimizing the role of human in the system of decision support for corruption. The purpose of the research is to analyze the world's best practices in the introduction of digital technologies and artificial intelligence to reduce corruption in society. In 2021 were published 279 publications, while in 2017 - 198 publications, which indicates the relevance of the chosen field of study worldwide. Half of the scientific work on the impact of digitalization on the fight against corruption belongs to scientists from four countries (USA, China, India, UK). Systematization of scientific literature suggests that the main causes of corruption are lack of strict social and legal control over the activity of authorities, imperfect legal system, low wages, and social services in the civil service, low tolerance of society to corruption. The authors have analysed the current digital tools for combating corruption in Ukraine, the world experience of using artificial intelligence to combat corruption. Estonia is the leader in the introduction of digital information technologies in the economy among the countries of the European Union. The paper analyzes the dependence of the Corruption Perceptions Index on such indicators as the level of digital technology development and the level of e-government. The object of the study was 28 countries of the European Union. The source of primary data was Transparency International (Corruption Perceptions Index), European Commission (Digital Economy and Society Index) and United Nations (E-government Development Index). According to the results of the correlation analysis, the following is established: first, the higher the level of development of digital technologies, the lower the value of the corruption perception index in the country; secondly, reducing the level of corruption depending on the growth of the digitalization of public sector processes. The results of the study have practical value for public authorities to improve the anti-corruption system in the national economy through innovative information technologies.