Operate deployer responsibilities + agentic AI considerations + engagement with rights holders per OECD 2024 Update. Deployer responsibilities and contextual adaptation must (a) adapt AI systems received from providers to deployment context including domain + jurisdiction + population + use case + with documented adaptation choices and responsibilities, (b) implement provider-deployer cooperation on safety + performance + incident response + improvement + (c) maintain deployer-level monitoring + evaluation + improvement complementing provider-level governance, (d) provide users with context-appropriate disclosures + training + support. Agentic AI considerations must (a) implement governance for AI systems with extended autonomy + action-taking capability + tool use + including AI agents that can perform multi-step tasks + access external systems + make consequential decisions, (b) constrain agentic AI scope + authority + tool access + accountability + with human-in-the-loop or on-the-loop appropriate to risk + (c) monitor agentic AI behaviour + emergent capability + unintended action + with circuit breakers + termination protocols + (d) maintain documentation of agentic AI behaviour + decisions + outcomes appropriate to investigative + governance + and remediation needs. Engagement with affected rights holders must (a) identify rights holders affected by AI deployment including direct users + indirect subjects + workers + communities + civil society + (b) engage rights holders through consultation + impact assessment + participatory governance + (c) provide rights holders with information access + contestation + redress + (d) maintain ongoing engagement through deployment lifecycle.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.