Practical guide

Human control in AI workflows

The objective is to embed approvals where errors have real consequences. The review baseline covers decision right, visible evidence, stop signal, fallback and audit.

WERKVERSTAND / CONNECTING INTELLIGENCE

The essential answer

Human control belongs where a decision triggers real consequences. The accountable person needs visible evidence, an effective stop signal and a practical fallback. Document decision rights and approval so review is more than a formal click.

01 / FIT

A good fit when

  • Goal, scope and domain accountability are explicit.
  • The review baseline is available: decision right, visible evidence, stop signal, fallback and audit.
  • An approval test shows the evidence available to the accountable person and how refusal or stopping prevents the effect. The fallback works in the example and the decision remains traceable in the audit.

02 / LIMITS

Not the first choice when

  • Avoid: having a human click at the end merely as a formality. Approval is substantively insufficient if the person can neither review relevant evidence nor effectively stop the action or use a fallback.
  • There is neither safe test data nor a manual fallback.
  • A product demo is expected to replace domain acceptance.

Clarify data paths and accountability

The work assignment is to embed approvals where errors have real consequences. Define purpose, owner and permitted operating boundary before the first test.

The domain review baseline covers decision right, visible evidence, stop signal, fallback and audit. Assumptions and missing information remain visible in the result.

Embed controls in the workflow

  • Mark decisions with real consequences and the corresponding decision rights in the workflow.
  • Provide the evidence needed for substantive approval directly at the decision point.
  • Test refusal, the stop signal and the manual fallback using a concrete case.
  • Document approval and effects traceably and review the control point regularly.

Review approval against evidence

An approval test shows the evidence available to the accountable person and how refusal or stopping prevents the effect. The fallback works in the example and the decision remains traceable in the audit.

Avoid: having a human click at the end merely as a formality. Approval is substantively insufficient if the person can neither review relevant evidence nor effectively stop the action or use a fallback.

Decision matrix

Decision pointProceed whenStop when
Data and accountabilityDocumented: decision right, visible evidence, stop signal, fallback and audit.Scope, data or accountability remains unresolved.
Control evidenceAn approval test shows the evidence available to the accountable person and how refusal or stopping prevents the effect. The fallback works in the example and the decision remains traceable in the audit.There is only an unevaluated demo without acceptance evidence.
Approval boundaryOwner, approval, fallback and next review date are defined.Avoid: having a human click at the end merely as a formality. Approval is substantively insufficient if the person can neither review relevant evidence nor effectively stop the action or use a fallback.

Keep it verifiable

Primary sources

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