Working Groups#

Three Working Groups

Structured research collaboration across key themes

WG1: Transparency in FinTech#

Leadership#

RoleNameCountry
LeaderProf. Wolfgang Karl HardleGermany
Co-LeaderDr. Ioana CoitaRomania
Co-LeaderProf. Daniel Traian PeleRomania

Objectives#

  1. Improve transparency of AI-supported processes in financial technology applications
  2. Provide signals for increased risks generated by sampling biases and fraud
  3. Develop blended approaches to evaluate innovative financial services

Key Focus Areas#

Modern Machine Learning Blockchain Analytics Big Data Mining Preemptive Risk Analysis Transparency Standards Policy

WG2: Transparent vs Black Box Decision-Support Models#

Leadership#

RoleNameCountry
LeaderProf. Petre LameskiNorth Macedonia
Co-LeaderDr. Kristina SutieneLithuania

Objectives#

  1. Address gaps between proliferation of AI models in financial risk assessment and public insight
  2. Develop methods enhancing model interpretability
  3. Policy paper development on AI accountability

Key Focus Areas#

Explainable AI (XAI) Transparent vs Opaque Models Algorithmic Decision Quality Credit Management Transparency Stock Price Prediction Fraud Detection Explainability

WG3: Transparency into Investment Product Performance#

Leadership#

RoleNameCountry
LeaderProf. Peter SchwendnerSwitzerland

Objectives#

  1. Develop methods scrutinizing product quality across asset management, banking and insurance
  2. Focus on rule-based ‘smart beta’ products
  3. Create cross-industry performance standards

Key Focus Areas#

Investment Product Transparency Quality Assessment Frameworks Smart Beta Evaluation Asset Management

Cross-Working Group Collaboration#

The three working groups collaborate on cross-cutting themes:

ThemeWG1WG2WG3
Machine LearningPrimarySupportApplication
ExplainabilitySupportPrimaryApplication
Risk AssessmentMethodsModelsProducts
Policy DevelopmentStandardsAccountabilityPerformance

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