In an era where corruption continues to evolve in sophistication and scale, the role of artificial intelligence (AI) has emerged as a transformative force in the global effort to uphold integrity, transparency, and accountability. Traditional investigative methods—while essential—are increasingly inadequate in addressing the complexities of modern corruption schemes, which often involve vast networks, cross-border financial transactions, and cyber-enabled concealment tactics.

AI offers unprecedented capabilities in detecting and preventing corruption. Through the analysis of large datasets, real-time surveillance of financial systems, and predictive modeling, AI tools can identify patterns, anomalies, and risks that human oversight might miss. From automating red flag detection in public procurement to tracing beneficial ownership in shell companies, AI is reshaping the way law enforcement agencies, auditors, and compliance bodies operate.

Against this backdrop, the 6th Plenary Session and 10th Steering Committee Meeting of the UN Global Operations Network of Law Enforcement Agencies Against Corruption (GlobE Network)—held in Baku, Azerbaijan—marked a pivotal moment for the international anti-corruption community. The event’s central theme, “Possibilities of Applying New Technologies and Artificial Intelligence in the Fight Against Corruption,” captured the urgency of embracing innovation to counter corruption’s adaptive nature.

With the participation of senior officials from approximately 50 countries, this high-level gathering highlighted how AI and digital transformation are not merely technical tools but strategic enablers of global anti-corruption efforts. The discussions reflected a growing consensus: to stay ahead of increasingly complex corruption threats, international cooperation must go hand-in-hand with technological........

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