Keep the value chain in view: secure cooperation among actors from the value-chain and risk-chain perspectives (shared issues such as understanding AI risk, improving quality, creating value through interconnected systems of systems and raising the literacy of business users and non-business users; points to settle between actors such as contracts on rights in the data used for training and use and in generated models); clarify the risk chain including data distribution and build risk management and governance suited to each of the development, provision and use stages; and where the chain spans several countries, understand international discussion of AI governance for Data Free Flow with Trust and secure interoperability in both standards and frameworks.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.