ABSTRACT
A non-discriminatory designer would most likely assess his participation in the process which will probably lead him to believe that he had nothing to do with the outcome. In contrast, an anti-discriminatory designer will take the added and necessary steps to ensure that his code, as well as his fellow developers, is not being used in harmful ways. When developing algorithms, developers express how things ought to be or not to be, what is good or bad, and desirable or undesirable outcomes. The developer must identify the right historical data, the right prepared version of the data, and, just as importantly, the correct machine learning algorithm. However, finding the right combination requires an iterative process that spans data profiling, data preparation, algorithm selection, algorithm configuration, experimentation, evaluation, and monitoring. The lender’s decision to leverage AI in the first place was to facilitate faster and more accurate credit decisions.
