Our EU projects
What does the project cover?
The aim of the project is to develop innovative methods supporting institutions in combating money laundering and terrorist financing (AML/CFT), in accordance with the requirements of Polish and European law.
The result of the R&D module will be the effective identification of politically exposed persons (PEP) and their relatives and close associates (RCA), who, despite statutory requirements and in relation to solutions available on the market, remain impossible to detect with the effectiveness expected by the market.
Scoper of the project
PEP – Politically Exposed Person
The project’s scope for detecting PEPs includes the development of four models based on machine learning techniques that perform the following actions:
- generating search engine queries that return pages containing information about PEPs;
- verifying whether the page belongs to an institution listed in the act;
- detecting information about positions and the individuals holding them;
- matching position names found on the page to the positions listed in the act.
RCA – Relatives and Close Associates
Identifying RCA individuals will include:
- defining data sources and attributes indicating RCA affiliation, determining the strength of these attributes and the credibility of their sources;
- developing a model that will aggregate attribute values and make decisions on whether a person belongs to the RCA category;
- developing a system that justifies the decisions made by the model.
Benefits of implementing the project
The application of AI/ML algorithms in the PEP and RCA identification process translates into concrete effects for obligated institutions.
