Introducing Artificial Intelligence into Economic Management Models to Minimise Corruption Risks

Abstract

In the current context of digital transformation of economic governance, artificial intelligence (AI) plays a key role in improving the efficiency of public administration and fighting corruption. The use of AI can reduce the influence of the human factor on decision-making processes, increase the level of transparency and accountability of state institutions, and provide automated analysis and identification of corruption risks. At the same time, the use of AI in this area raises a number of challenges, including cybersecurity, ethical aspects of using algorithms, and legal regulation of automated solutions. Given the strategic importance of anti-corruption policy for the sustainable development of Ukraine, the study of AI integration into the economic management system is extremely important and relevant. The purpose is to explore the possibilities of using artificial intelligence in the field of economic governance to minimise corruption risks, analyse the main challenges and propose recommendations for the effective integration of AI into public administration, taking into account international experience and national peculiarities. Methods. The study applies a comprehensive approach, including methods of system analysis, comparative legal research, content analysis of legal acts, and statistical methods to assess the effectiveness of AI in the field of anti-corruption. A case analysis of digital anti-corruption solutions implemented in Ukraine, including the Prozorro and Dozorro platforms, the ID.GOV.UA electronic identification system, and international experience in using AI to counter corruption schemes, was used. Results. The study has confirmed that the introduction of artificial intelligence into the economic management system contributes to the automation of financial flow monitoring, risk analysis, integrity checks of civil servants, and increased openness of public data. The author identifies the main problems that impede the effective use of AI in the fight against corruption, including low digital literacy, cybersecurity threats, risks of discrimination due to biased algorithms and lack of proper legal regulation. Conclusions. For the effective integration of AI into the economic management system, it is necessary to improve the legislative support for automated solutions, introduce mechanisms for independent audit of algorithms, strengthen cybersecurity measures, and develop the digital literacy of the population. The use of advanced technologies, such as blockchain, cloud computing and big data analytics, combined with international experience, will significantly increase the effectiveness of anti-corruption measures.Taking these recommendations into account will help to increase the level of trust in state institutions, reduce corruption risks and improve the investment climate in Ukraine.