Interactive roundtable discussion that explored key regulatory and policy considerations around the use of Machine Learning techniques in the financial industry, featuring a mix of 50 attendees including prominent officials, policymakers and representatives from leading financial institutions.

Specific discussions were held on:

  • Model Interpretability in Machine Learning
  • Bias and Ethics in Machine Learning
  • Machine Learning for effective prevention of financial crime
  • Challenges in implementing Machine Learning