Tasks of classifying things (in this case into "approved" or "rejected") that humans can routinely do but machines find difficult are areas where ML shines. Hu

Tasks of classifying things (in this case into "approved" or "rejected") that humans can routinely do but machines find difficult are areas where ML shines. Human reviewers today, but once the training set is large enough you can start to let computers take over with human reviewers reviewing the lower certainty cases until the certainties rise further.