Agentic-AI Autonomy, Identity and Human Control

Agentic-AI Autonomy, Identity and Human Control governs a system that may plan, invoke tools, modify state, remember and delegate. It defines an attributable authority envelope, least privilege and boundaries around tools, data, memory and environment, supported by effective oversight and safe termination.

Design agentic AI authority and human control as separate choices. Preserve accountable ownership, bounded permissions and tested intervention for the decision class.

Why this matters

Capability does not confer authority. Multi-agent coordination, persistent memory and tool access can compound exposure beyond a single model response and exceed the supervision humans can realistically provide.

Questions to bring to the work

• What can this agent decide, change, remember or delegate, under whose authority and for how long?
• Can the complete agent system be interrupted, revoked, recovered or retired when control fails?

Explore this chapter

Classify autonomy by actual decisions and actions, including reach, duration, spend, sensitivity, reversibility and power to delegate.

Use attributable agent identities and least privilege for approved tools, operations, data and duration rather than persistent broad credentials.

Define enforceable tool, destination, memory and environment limits so context or untrusted content cannot silently widen authority.

Test whether people have the information, time, competence and authority to prevent, interrupt, correct or recover material actions.

Evaluate the full multi-agent trajectory for broken handoffs, conflicting goals, compounding error and supervision demands beyond individual component behaviour.

Test refusal, policy compliance, action quality and recovery alongside task success, with observable safe failure and technically effective termination.

What useful evidence looks like

• Authority, identity and permission records covering actions, delegation, duration, tools, memory and environment.
• Realistic supervision, intervention, refusal, recovery and termination tests across complete multi-agent trajectories.

Move from understanding to practice

Framework source

Editorial adaptation from the supplied AIDIVE Version 1 master documents.

• AIDIVE Ethics Dimension Version-1.docx · E.5 Agentic-AI Autonomy, Identity and Human Control; AIDIVE Ethics - Practices & Playbook Version-1.docx · AR-E19, AR-E20, AR-E21, AR-E22

Ethics

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