The Potential of Artificial Intelligence Technologies in Combating Corruption: Harmonization of National Legislation with International Law

Abstract

Introduction: The article examines the legal issues related to the use of artificial intelligence technologies in anti-corruption activities in the context of the interaction between national legislation and international public and private law. The relevance of the study could be accounted for by the digitalization of public administration and cross-border economic processes, necessitating the development of the legal mechanisms ensuring the acceptable limits for employing algorithmic solutions in anti-corruption practices, as well as distributing legal responsibility among public authorities and private actors.Materials and Methods: the objective of the study consists in analyzing the legal foundations for the use of artificial intelligence technologies in the anti-corruption system from the perspective of harmonizing national legislation with international legal approaches. The research materials include international and national legal acts regulating anti-corruption activities, digital public administration, and the use of artificial intelligence technologies. The study employs formal legal, comparative legal, and systemic methods, as well as the analysis of international anti-corruption standards, including the United Nations Convention against Corruption (2003), UNESCO and OECD recommendations, and the European Union Artificial Intelligence Act (AI Act).Research Results and Discussion: It has been established that the object of legal regulation is not artificial intelligence itself, but the social relations arising in the process of applying the algorithmic systems for the detection, prevention, and investigation of corruption offenses. The author states that international standards form the basis of digital integrity, which implies transparency of algorithmic procedures, human accountability, and the possibility of legally significant oversight. It is revealed that the use of artificial intelligence technologies in anti-corruption activities is associated with the risks related to privacy violations, disclosure of commercial secrets, and algorithmic defamation. Conclusions: It is concluded that the harmonization of national anti-corruption legislation with the international legal approaches to the use of artificial intelligence technologies requires the development of the mechanisms for transparency, accountability, and independent oversight of algorithmic decisions used in both public and private sectors. The effective employment of artificial intelligence in anti-corruption activities is possible only if the procedures for legal control are normatively established, and the balance between public interests and the protection of private rights is ensured.