The Role of Artificial Intelligence In Enhancing Anti-Corruption Enforcement: Opportunities and Ethical Dilemmas in Predictive Analysis for Detecting Bribery

Artificial intelligence (AI) is changing how we enforce anti-corruption by using predictive analytics to find bribery and other illegal activities more efficiently than ever. This article looks at the opportunities AI offers, like monitoring procurement processes in real time, spotting irregularities in financial transactions, and forecasting risks in public sectors. It draws from global case studies in countries such as Mexico, Ukraine, and Brazil. However, it also addresses ethical issues, including algorithmic bias, privacy concerns, the opaque nature of AI systems, and the risk of surveillance overreach, especially in developing countries. By fairly analysing government strategies and citizen-led initiatives, the paper shows how AI can improve transparency and accountability. It also emphasizes the need for ethical guidelines to reduce risks. The recommendations include clear AI design, bias audits, and international regulations to ensure fair use. In the end, we must use AI in anti-corruption responsibly to prevent worsening inequalities or creating new types of abuse.