What have we learned about machine learning models as we have dealt with the pandemic? Where did they perform well and what were the shortcomings? What about gender and racial bias, how are concerns being addressed by the ML credit models today? With credit data proving to be unreliable or at best out of date what impact does that have? How will companies adapt their approach to machine learning models going forward?