Speaker’s Topic 2

DESIGNING INHERENTLY INTERPRETABLE MACHINE LEARNING FOR CREDIT MODELS

  • Pitfall of post-hoc explainability in XAI
  • The importance of inherently interpretable Machine Learning
  • Real world case study: home lending credit default