Machine learning for efficient identification of conspicuous financial transactions

With the help of artificial intelligence, computers can recognize patterns in data in a very short time, which humans can only find after months or not at all. The MaLeFiz project wants to use these new technical possibilities to support financial supervisory authorities and investigators in the fight against money laundering and terrorist financing.

To this end, the project team is developing a solution that can identify indications of money laundering in large volumes of financial data - faster and better than established transaction monitoring procedures. The particular challenge here is that users and investigating authorities must be able to trace the decision-making process at all times.

In order to take all relevant stakeholders into account in the development, financial institutions, law enforcement agencies and legal experts will be involved in the project. Furthermore, the project will define a robust control infrastructure for AI applications and formulate practical recommendations for both developers and end users.