Networking activities

The Committee on Artificial Intelligence for Compliance and EPPO Investigations was established within the Center of Excellence with the aim of analyzing the role of Artificial Intelligence in the development of Augmented Justice, understood as the conscious integration of human skills, advanced technological tools, and data analysis models.
The Committee’s mission is not limited to studying the potential support this technology can provide to investigative activities, but also aims to systematically explore how AI can strengthen supranational criminal prosecution and the protection of the European Union’s financial interests, and support businesses and financial intermediaries in understanding, implementing, and monitoring regulatory compliance.
The Committee’s work focuses on two interconnected areas: investigations conducted by the European Public Prosecutor’s Office (EPPO) and compliance and risk management in the private sector.
With regard to the first aspect, the committee studies how the integration of advanced technologies, particularly data analytics and artificial intelligence tools, can support European Delegated Prosecutors in managing complex cross-border investigations, improving the analysis of opaque financial flows, the identification of fraudulent schemes, and cooperation between national authorities.
Regarding compliance and risk management, the objective is to analyze how AI can help banks, businesses, and economic operators assess their level of regulatory compliance, promptly identify risk areas, and transform legal obligations into effective prevention tools, with a particular focus on VAT fraud, money laundering, and corruption.
Particular attention is also paid to the critical issues and limitations of AI—algorithmic opacity, bias, excessive reliance on automated systems, and issues of legal liability—which are critically addressed while respecting the rule of law and fundamental guarantees.
Through the drafting of guidelines, strategic studies, and applied research, the committee intends to identify which tools, from LLM-based semantic analysis to advanced simulation models, are truly suitable for promoting Augmented Justice, in which technology does not replace human decision-making, but rather enhances its critical, interpretative, and investigative capabilities, contributing to a more effective, fair, and transparent system.

MEMBERS

Chairs:

1. Francesca Fragassi, law student
2. Simone Fontana, Associate Professor – University of Milan-Bicocca, in Computer Science 

Members:

1. Elena Tieghi;
2. Alessandro Vantellino;
3. Giulio Civitareale.

Support:

1. Sabrina Bouchelaghem

Editorial Advisor:

1. Alessandra Parisi