How AI's Actually Work — HAAW

Authority, Escalation and Human Control

When Does the AI Have to Stop and Ask?

Capability Is Still Not Authority

An AI system may be technically capable of proposing, scheduling or invoking an action. That does not mean it has authority to perform that action.

CAN DO ≠ MAY DO

This distinction has followed us from tools, through agents, permissions, planning and mission success. Now we make the control boundary explicit.

Five Different Questions

CAPABILITY

Can It?

Does the system possess a tool or mechanism capable of the operation?

PERMISSION

May It?

Does the current identity and policy allow the operation?

MISSION

Should It?

Is the operation consistent with the user's goal and constraints?

EVIDENCE

Does It Know Enough?

Is there sufficient information to justify the proposed action?

AUTHORITY

Who Decides?

Is this decision delegated to the AI, or reserved for a human or another control system?

The Simplest Control Loop

PROPOSE ACTION → CHECK MISSION → CHECK PERMISSION → CHECK APPROVAL REQUIREMENT → EXECUTE OR ESCALATE

The model may propose an action. The surrounding system decides whether that proposal can cross the execution boundary.

What Is Escalation?

Escalation means transferring a decision, uncertainty or required authorization to an authority outside the current autonomous scope.

That authority might be:

the user · an operator · administrator · supervisor · reviewer · incident commander · approval service · policy system · another authorized organizational role.
Escalation is not necessarily failure. It can be successful compliance with the system's control design.

Four Ways to Continue — One Way to Stop

SituationSystem Response
Authorized, sufficiently understood, within delegated scopeProceed.
Missing informationAsk for information or gather permitted evidence.
Action requires approvalAsk the authorized human/control point.
Alternative permitted route existsReplan within constraints.
No authorized safe routeStop and report the boundary.

Human-in-the-Loop

A human-in-the-loop design deliberately places a person inside the workflow at selected decision points.

AI ANALYZES → AI PROPOSES → HUMAN APPROVES / REJECTS / MODIFIES → SYSTEM CONTINUES

The human is not merely watching. Their response changes what the system is authorized or instructed to do.

Human-on-the-Loop

Another design allows automated action within defined limits while a human supervises and can intervene.

AUTOMATED OPERATION → MONITORING / AUDIT → HUMAN CAN INTERVENE

The distinction matters because “a human is involved somewhere” does not tell us whether approval is required before action or whether oversight occurs while/after authorized actions proceed.

Human-out-of-the-Loop

Some bounded operations may execute without individual human review.

Example: Read a permitted status endpoint every five minutes and record whether the service is healthy.

That does not mean the AI has unlimited autonomy. It means the system has delegated a specific class of decisions or actions in advance.

Delegated Authority

Authority can be scoped:

Agent may: read status, inspect approved logs, run non-destructive diagnostics.
Agent may not: edit configuration, restart production, create accounts, change permissions.
Human approval required: any production state change.

This is far clearer than “the agent is autonomous.”

Autonomy is meaningful only relative to a defined scope.

The Approval Gate

Suppose diagnosis indicates that restarting Apache is likely to restore service.

DIAGNOSIS → PROPOSE RESTART → APPROVAL GATE → HUMAN DECISION

Until approval arrives, the proposed restart is not an authorized action.

PROPOSED ≠ APPROVED ≠ EXECUTED ≠ VERIFIED

Approval Should Be Specific

A vague “yes” can be dangerous if the proposed action has changed since the approval request.

Approval request: Restart service httpd on production host web01 once, then verify health. No configuration changes.

The approval can be bound to the action, target, scope and time. If the plan later becomes “edit config and reboot host,” the old approval should not silently expand to cover it.

Approval Is Not a Permanent Permission Upgrade

APPROVE ACTION A ≠ GRANT UNLIMITED AUTHORITY

One authorized action need not alter the agent's general permission envelope.

When Should the System Ask?

Useful escalation triggers can include:

Missing Critical Information

The system cannot distinguish between materially different actions.

Permission Boundary

The next useful step requires authority not already delegated.

High Consequence

The action can significantly alter important external state.

Irreversibility

The action cannot easily be undone.

Conflicting Instructions

The system cannot safely reconcile applicable constraints.

Insufficient Evidence

The proposed action would rely on unresolved assumptions.

Unexpected State

The environment differs materially from the plan's assumptions.

Defined Policy Trigger

A rule explicitly requires human review.

Risk Can Change the Threshold

The same uncertainty can justify different behavior depending on consequence.

ActionUncertaintyReasonable Control
Read a public status pageModerateProceed within scope.
Run read-only diagnosticLow/ModerateProceed if authorized.
Edit production configurationModerateStronger verification and approval.
Delete important recordsAny material uncertaintyStrong authorization, verification and often explicit human control.

The exact thresholds are system and domain decisions—not universal numbers built into the transformer.

Uncertainty Is Not the Same as Probability

An agent may know that evidence is incomplete without possessing a calibrated numeric probability for every outcome.

Known: config test fails.
Unknown: whether another production dependency is also broken.
Decision: sufficient evidence to report likely cause; insufficient authority to repair.

That can be enough to trigger escalation.

Ask a Question or Ask for Permission?

These are different.

Clarification

“Which server do you mean: staging or production?”

Authorization

“May I restart httpd on production web01?”

The first obtains missing mission information. The second requests authority for a defined action.

Escalation Should Carry Evidence

A good escalation does not merely say:

“I need help.”

It can carry the decision context:

Observed: httpd failed; config test reports invalid directive line 83.
Proposed action: correct directive and restart service.
Constraint: current mission is read-only production access.
Authority needed: configuration write + service restart.
Alternative: stop with diagnosis only.

The human can then make a better decision without reconstructing the entire investigation.

Human Approval Can Also Be Wrong

Human control is not magical correctness. A person can misunderstand, approve the wrong target or overlook new evidence.

The system should still validate the action against current state and applicable controls.

Human authorization answers “may proceed.” It does not prove “this action will work.”

State May Change While Waiting

Suppose approval takes ten minutes. During that time another operator repairs the service.

REQUEST APPROVAL → WAIT → WORLD CHANGES → APPROVAL ARRIVES

The system should not blindly execute a stale plan merely because approval finally arrived.

Revalidation may be required:

APPROVAL → RECHECK PRECONDITIONS → EXECUTE OR REPLAN

Emergency Stop

A control architecture may include a way for an authorized human or supervisory system to halt further action.

STOP SIGNAL → PREVENT NEW ACTIONS → CANCEL / CONTAIN WHERE POSSIBLE → PRESERVE STATE AND EVIDENCE

Stopping an external operation already in progress may not always be possible. “Stop” itself has implementation limits.

Escalation in Multi-Agent Systems

An individual worker agent may not need direct access to a human. It can escalate to a supervisor or orchestrator.

WORKER AGENT → SUPERVISOR → POLICY / APPROVAL GATE → HUMAN

The important question is whether the authority chain is explicit and preserved.

Delegation Cannot Manufacture Authority

If a supervisor agent lacks permission to modify production, delegating the request to another agent should not magically create that permission.

An agent should not be able to escape a control boundary merely by asking another agent to cross it.

Relevant constraints and authorization context must propagate through delegation.

Escalation Can Be Part of Mission Success

Recall Page 38's mission statuses. A mission may correctly end with:

Diagnosis complete. Repair requires production-change authority. Evidence preserved. Escalated to authorized operator.

If the mission only authorized diagnosis, that is not incomplete obedience. It may be exactly the intended endpoint.

The AI Should Not Quietly Expand “Done”

If asked to diagnose, the system should not silently reinterpret success as “diagnose and repair.” If asked to draft, it should not silently reinterpret success as “draft and publish.”

MISSION SCOPE → WORK WITHIN SCOPE → ASK BEFORE CROSSING BOUNDARY

Authority Is External to the Transformer

The transformer computes representations and generates outputs. It does not contain a magical hardware bit labeled AUTHORIZED.

Authority emerges from the surrounding control architecture:

IDENTITY + POLICY + MISSION + PERMISSIONS + APPROVAL STATE → CONTROL DECISION

The model may help interpret the situation, but enforceable controls belong in the system around it.

WITNESS: The Approval Chain Is Evidence

For consequential actions, WITNESS should be able to reconstruct:

Who/what proposed the action · evidence available at proposal time · mission constraint · required authority · approval request · approver identity/role · exact approved scope · timestamp · state revalidation · executed action · resulting state change · verification · later revocation or stop signal.

This produces a chain:

PROPOSED → ESCALATED → APPROVED / DENIED → REVALIDATED → EXECUTED → Δ STATE → VERIFIED
Forensic reconstruction should be able to answer not only “What did the AI do?” but “Under whose authority did that action cross into the world?”

Absence of a Human Click Is Not Proof of No Human Control

A human may establish policy and delegated authority in advance. Conversely, a human clicking “approve” once does not mean every later action was individually reviewed.

HAAW therefore asks for the actual control mechanism, not the vague statement “there was a human in the loop.”

The Stop-and-Ask Decision

NEXT ACTION IDENTIFIED
↓
WITHIN MISSION?
↓
AUTHORIZED?
↓
SUFFICIENT EVIDENCE?
↓
APPROVAL REQUIRED?
↓
PRECONDITIONS CURRENT?
↓
PROCEED — OR STOP AND ASK

The Boundary

Capability says what the system can technically do.

Permission says what an identity is allowed to do.

Mission scope says what it was asked to do.

Authority determines who may approve consequential decisions.

Escalation transfers a decision beyond the current autonomous scope.

Human control can occur before, during or after bounded automated work, depending on system design.

Approval should be specific, current and tied to the action actually proposed.

The system should continue autonomously only inside the authority that has actually been delegated to it.

HAAW Checkpoint

Authority: Legitimate power to approve or direct an action within a defined scope.

Escalation: Transfer of a decision, uncertainty or authorization request outside the current autonomous scope.

Human-in-the-Loop: A design in which specified actions or decisions require human participation before workflow continuation.

Human-on-the-Loop: A design in which bounded automated activity proceeds under human supervision with intervention capability.

Delegated Authority: Permission granted in advance for a defined class of decisions or actions.

Approval Gate: A control point that prevents an action from executing until required authorization is obtained.

Revalidation: Checking that relevant conditions still hold after delay or before an approved action executes.

Emergency Stop: A mechanism intended to halt or contain further activity, subject to implementation limits.

Constraint Propagation: Preserving applicable mission and authorization boundaries through delegation.

Proposed vs Approved vs Executed: Three distinct states that must not be collapsed into one.

Central lesson: The AI may identify the next useful action. Authority determines whether it may take that action without asking.