People's reactions to policy decisions/outcomes don't matter nearly as much as the actual outcomes. I think most people will agree that simultaneously raising G

People's reactions to policy decisions/outcomes don't matter nearly as much as the actual outcomes. I think most people will agree that simultaneously raising GDP per capita while reducing inequality and increasing innovation would be a good outcome. Those are all things that can be quantified and measured with very little bias. Survey data isn't as important comparatively. As for the model explaining itself: the model can show relationships and patterns that humans hadn't previously detected, because there were too many variables. We can deduce new economic strategies by observing model output, such that we can even carry out those strategies without further use of the model. There are also ways to make ML models explain themselves.