Leveraging AI for anti-corruption: From evidence to impact

Artificial Intelligence (AI) can uncover irregularities in datasets (eg bids, e-mails), bolster due diligence, and flag suspicious activities for in-depth investigation. It also facilitates accountability and information sharing, empowering women and enhancing the resilience of individuals in vulnerable positions. However, AI can also undermine democratic systems, facilitate the movement of Illicit Financial Flows (IFF), execute complex fraud schemes, and help identify and circumvent vulnerabilities in compliance systems. Furthermore, the risk of bias within algorithms poses a significant threat to gender equality and inclusivity.

This seminar provides a dedicated forum designed to stimulate thoughtful discussions, direct future research on the use of AI in anti-corruption efforts, and influence both policy and practice. The seminar will focus on two main aspects: the evolution of fraud and corruption practices facilitated by AI technology, and the strategies public and private organisations, as well as Civil Society Organisations, can employ to respond effectively.

Giovanni Leoni (Credo AI) will discuss the strategic risks and opportunities that artificial intelligence represents for public and private integrity. Additionally, Fernanda Odilla (University of Bologna) and Carolina Gerli (University of Bologna) will lead discussions on the role of public organisations and civil society in this context.

Guillaume Nicaise (U4/CMI) and Daniel Hausenkamph (U4/CMI) will moderate.