The Prudential Supervisory and Resolution Authority (ACPR) wants to test technologies that allow banks to fight together against money laundering.

It is a question of an experiment on collaborative methods and the pooling of data in the field of the fight against money laundering and the financing of terrorism (LCB-FT), and more particularly that of the detection of suspicious transactions. As an extension of its work on artificial intelligence (AI), and the publication of two discussion papers1, the ACPR wishes to organize an experiment to assess the benefits of pooling data on the performance of detection models suspicious transactions in the area of LCB-FT in the banking sector.

With this experiment, the objective of the ACPR is to stimulate market reflection on the applications of AI in the field of LCB-FT. More concretely, this experiment will be an opportunity, by testing solutions for pooling or collaborative data analysis, to explore an avenue.