Question 27
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
References
- 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
- https://developers.googleblog.com/2021/01/how-were-helping-developers-with-differential-privacy.html
- https://ai.googleblog.com/2017/04/federated-learning-collaborative.html