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
Latest Professional Machine Learning Engineer Dumps Valid Version with 60 Q&As
Latest And Valid Q&A | Instant Download | Once Fail, Full Refund