Statistical Modeling, Causal Inference, and Social Science — Is explainability the new uncertainty?

Summary:
This is Jessica. Last August, NIST published a draft document describing four principles of explainable AI. They asked for feedback from the public at large, to “stimulate a conversation about what we should expect of our decision-making devices‘’. I find it interesting because from a quick skim, it seems like NIST is stepping into some murkier territory than usual.... Statistical Modeling, Causal Inference, and Social ScienceIs explainability the new uncertainty?Andrew Gelman | Professor of Statistics and Political Science and Director of the Applied Statistics Center, Columbia University

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