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§ I · Domain GOV · Control 4 of 12
Control
GOV-04
Edition
v.1.3
Status
Public review

GOV · Governance & Accountability

GOV-04Acceptable Use Policy

An AI Acceptable Use Policy is approved at executive level and acknowledged by all personnel involved in agent development, deployment, or operation.

The organization has a written AI Acceptable Use Policy that has been formally ratified by executive leadership and acknowledged by every individual involved in the agent lifecycle: development, deployment, and operations. The policy sets boundaries on what agents may be used for, how they may interact with customers and systems, and the obligations of personnel working with them.

Table GOV-04.1 · Maturity criteria · v.1.3

L1 to L5 · the lowest level in scope caps the agent
L1Ad hoc

Controls exist informally; documentation is incomplete; no consistent review.

L2Documented

Controls are written down; ownership is assigned; review cadence is defined.

L3Operated

Controls are followed in practice; evidence is collected; deviations are tracked.

Policy is published and accessible; acknowledgment records exist for all relevant personnel; the policy has been reviewed and re-ratified within the prior twelve months.

L4Measured

Control effectiveness is measured against documented thresholds; trends are reported.

L5Continuously Improved

Controls evolve based on incident learning; maturity gains are evidenced over time.

The v1.3 edition publishes a control-specific criterion at L3 (Operated). The other levels apply the general ladder to this control; see the maturity ladder.

Evidence an assessor asks for

  1. E.1

    Policy is published and accessible.

  2. E.2

    Acknowledgment records exist for all relevant personnel.

  3. E.3

    The policy has been reviewed and re-ratified within the prior twelve months.

Table GOV-04.2 · Framework mappings

5 of 7 frameworks carry a control-level reference
NIST AI RMFMAP 1.1, MAP 5.1NIST AI Risk Management Framework 1.0
ISO/IEC 420016.1.2, A.5ISO/IEC 42001:2023 · Artificial intelligence management system
OWASP LLM Top 10·OWASP Top 10 for Large Language Model Applications
SOC 2 (TSC)CC3.1, CC3.2AICPA Trust Services Criteria for SOC 2 Type II
EU AI ActArt. 9(2), Art. 9(4)EU AI Act · Regulation (EU) 2024/1689
MITRE ATLAS·MITRE ATLAS · Adversarial Threat Landscape for AI Systems
SingaporeMAIGF Internal Governance, AI Verify AccountabilitySingapore Model AI Governance Framework / AI Verify / PDPA

Mappings are directional: meeting this control evidences but does not by itself satisfy the external requirement. A middle dot means no control-level reference is published at this edition; see the crosswalk.

Cite this control

Human Intelligence. HI-AAF v1.3, GOV-04 Acceptable Use Policy. Public review edition, July 2026. https://humanintel.net/standard/gov/gov-04

Edition v.1.3 · July 2026 · Public review · Markdown · PDF

https://humanintel.net/standard/gov/gov-04

Notice

HI-AAF v1.3 is an independent framework published by Human Intelligence. It is not affiliated with NIST, ISO, AICPA, or any government or accreditation body. The framework is offered openly for review during the current draft cycle.