A loan-assistance model performs well overall but makes more errors for one customer group. What should the business do before expanding deployment?

1. Assume a larger model automatically eliminates bias
2. Evaluate performance by group and investigate data and process bias
3. Remove all monitoring after launch
4. Approve deployment solely because average accuracy is high