Your question is Prevent Demographic Bias. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
How do you ensure a predictive model at Oscar Insurance does not introduce or perpetuate bias against specific member demographics?
Treat this as a practical model development task. Describe how you would audit data and predictions, select appropriate fairness metrics, identify disparate performance across protected groups, mitigate harmful disparities without creating new ones, and monitor fairness after deployment. Explain how you would balance fairness with predictive performance, privacy, interpretability, and clinical or operational usefulness. Provide production-quality Python demonstrating preprocessing, model training, subgroup evaluation, and at least one mitigation strategy.