Because perspectives differ, impacts can be hard to foresee and risks change as latent risks emerge or systems adapt, risk management runs throughout the lifecycle using traditional methods with the AI ethical risk overlay, including effects review and re-assessment. Where an ethical risk has to be traded against operational effectiveness or a military requirement, the Responsible AI Senior Officer ensures those trade-off risks are identified and managed.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.