Members who rely on AI in their surveying work must build and keep enough knowledge for responsible use, at minimum a basic grasp of the types and subsets of AI and how they work, their limits and failure modes, the risk of erroneous output, inherent bias, and data use and data risks.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.