Part 4/12:
This gap reflects an inefficient evaluation framework: multiple algorithms operate across different credit types (retail loans, mortgages, credit cards), often in silos, utilizing diverse data stacks that do not communicate. Most of these algorithms are rule-based or statistical, with only a quarter leveraging neural networks. This fragmentary approach results in missed opportunities for holistic assessment and inclusivity.