In operation the organisation keeps continuous track of accuracy, latency, robustness, reliability and the health of the system, with alerts and dashboards for degradation, drift and anomalies; watches fairness and bias, security threats, explainability and transparency, privacy, resilience and whether human oversight is working, with automated safeguards and fallbacks when risks emerge; oversees data quality, dependencies and data and concept drift with detailed logging for audits, investigations and root-cause analysis; audits the system regularly on technical, ethical, privacy and security grounds against regulation, the governance standards and the approved specifications, documenting the results formally and stakeholder reporting; and turns monitoring, audit and user input into controlled updates, retraining, risk reassessment and organisational learning, with mitigation by human oversight or automated recovery when outputs fall outside nominal thresholds; continuously learning systems receive special consideration.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.