You are an ML engineer at a bank. You need to build a solution that provides transparent and understandable explanations for AI-driven decisions for loan approvals, credit limits, and interest rates. You want to build this system to require minimal operational overhead. What should you do?
Considering the requirements of transparency, understandability, and minimal operational overhead, C. Use AutoML Tables with built-in explainability features, and use Shapley values for explainability. is the best option. It leverages a managed service with built-in explainability, providing a scalable and low-maintenance solution.