ORGANIZATIONAL FACTORS OF IMPLEMENTING ARTIFICIAL INTELLIGENCE IN THE FIELD OF COMBATING CORRUPTION
Abstract
The article analyzes the organizational aspects of introducing artificial intelligence (AI) technologies into the activities of bodies responsible for combating corruption. The key factors influencing the effectiveness of the digital transformation of anti-corruption processes are identified, including institutional, legal and regulatory, human resource, and infrastructural prerequisites. Special attention is paid to the need to form a comprehensive organizational system for managing digital innovations in the public sector. Based on an analysis of international and national experience, proposals and recommendations are developed to improve the organizational model for implementing artificial intelligence in anti-corruption activities.
Fields of Study & Subjects
Digital Economy and Transformation
Digital Transformation in Law
Digitalization and Economic Development in Agriculture
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 5 January 2026