Research priorities
Evaluating the efficiency of AI for AML
- Define efficiency in AML-CFT in terms of social welfare
- Measure the efficiency in current AML-CFT systems
- Develop a model for cost-benefit analysis for use of AI in AML-CFT
- Determine in which parts of the AML-CFT system would AI bring the most benefits
Shaping a regulation framework for AI used in
AML-CFT:
- Clarify the legal requirements for AML-CFT
- Understand and qualify the risks of human rights violation stemming from AI deployment in AML-CFT
- Implement safeguards for AI in AML-CFT to comply with transparency and proportionality requirements
- Reduce the uncertainty over the cost of AI regulation in AML-CFT
Implementing explainability
- Translate regulatory and transparency requirements for AI use into explainability solutions.
- Develop several explainability scenarios applicable to AML-CFT systems
- Apply a cost-benefit analysis for use of AI in AML-CFT with different explainablity scenarios
- Identify an optimal explainability approach from the economic and regulatory points of view.
