The technical build goes with a comprehensive methodology for testing the quality of the predictive data-based system to standard policies and protocols; technical robustness is secured through rigorous testing, validation and reassessment with oversight and control mechanisms built in, and system integration testing is signed off with relevant stakeholders to limit risk and liability. Automated systems whose decisions are irreversible, hard to reverse or life-and-death trigger human oversight and final determination, and AI systems are never put to social scoring or mass surveillance.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.