Before any AI system is trained, the data is carefully checked to correct errors and tackle possible bias. Written policies and procedures govern how data is stored, used and deleted, in line with the body's organisational policies, and testing and documentation cover every step of the lifecycle.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.