Somewhere between the press releases and the product demos, something went quietly wrong with explainable AI. What began as a serious academic and civil liberties concern about algorithmic opacity has been repackaged, polished, and slotted neatly into enterprise software brochures. The question of whether people deserve to understand why a machine...
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