The regulatory and operational context impacting on anti-money laundering activities, and the large amount of data to be processed and evaluated for prevention purposes started reflections on the development of the algorithms and on the constraints to the use of artificial intelligence to identify suspicious financial phenomena and to assess and profile the ML risks.
