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

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 Science
Is explainability the new uncertainty?
Andrew Gelman | Professor of Statistics and Political Science and Director of the Applied Statistics Center, Columbia University