What factors should you consider before building the model?

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

Answer: B

Explanation:

https://www.oecd.org/finance/Impact-Big-Data-AI-in-the-Insurance-Sector.pdf

https://medium.com/artefact-engineering-and-data-science/including-ethics-best-practices-in-your-data-science-project-from-day-one-c15b26c2bf99