You are an ML engineer at a regulated insurance company. You are asked to develop an insurance approval model that accepts or rejects insurance applications from potential customers. What factors should you consider before building the model?

A. Redaction, reproducibility, and explainability B. Traceability, reproducibility, and explainability C. Federated learning, reproducibility, and explainability D. Differential privacy, federated learning, and explainability