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Huge amounts of economic data come from inherently boring, unbiased sources (employment records, tax records, exports, manufacturing output, etc...). What data

• verdverm 6y ago
  Claiming any data as unbiased seems illogical to me, note how they are constantly revised. Yes, people's response to surveys are one. Their reaction to policy is another. If this "ai" is modelling policy decisions and outcomes, what data is being feed in? Further, how does one explain said "ai" recommendations and rational to the public? (edit) After looking over the code, I find this model incredibly simplistic and not capable of nearing the complexity IRL.
  • keenmaster 6y ago
    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.
    • verdverm 6y ago
      I will respectfully disagree with the last two paragraphs without going point by point. I sense too much attachment to the project and biases therein.
      • deleted 6y ago
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