Show the evidence
The first form of explainability is concrete: visible sources, steps that can be reconstructed and a clear separation between observed fact and model inference.
Design for uncertainty
A mature system does not hide what it does not know. Thresholds, confidence indicators and human review paths belong in the interface.
Control is an architecture
Model versioning, input logs, drift monitoring and repeatable evaluations are what keep AI governable over time.