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