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§ I · Domain MON · Control 6 of 12
Control
MON-06
Edition
v.1.3
Status
Public review

MON · Continuous Monitoring & Human Oversight

MON-06Reviewer qualification and training

Reviewer qualification and training are documented. Reviewer accuracy is measured and reviewed.

Reviewers in the human review queue are qualified through documented assessment before being assigned to a queue and receive training appropriate to the agents and decisions they review. Reviewer accuracy is measured against gold-standard samples on a documented cadence, ensuring that the human layer is itself operating at a sufficient quality level.

Table MON-06.1 · 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.

Qualification records exist for all active reviewers; training is current within the documented cadence; reviewer accuracy is measured against gold-standard samples; accuracy results are reviewed and acted upon.

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

    Qualification records exist for all active reviewers.

  2. E.2

    Training is current within the documented cadence.

  3. E.3

    Reviewer accuracy is measured against gold-standard samples.

  4. E.4

    Accuracy results are reviewed and acted upon.

Table MON-06.2 · Framework mappings

4 of 7 frameworks carry a control-level reference
NIST AI RMFMANAGE 2.1NIST AI Risk Management Framework 1.0
ISO/IEC 42001·ISO/IEC 42001:2023 · Artificial intelligence management system
OWASP LLM Top 10·OWASP Top 10 for Large Language Model Applications
SOC 2 (TSC)CC1.4AICPA Trust Services Criteria for SOC 2 Type II
EU AI ActArt. 14(4), Art. 26(2)EU AI Act · Regulation (EU) 2024/1689
MITRE ATLAS·MITRE ATLAS · Adversarial Threat Landscape for AI Systems
SingaporeAI Verify Human Agency & OversightSingapore 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, MON-06 Reviewer qualification and training. Public review edition, July 2026. https://humanintel.net/standard/mon/mon-06

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

https://humanintel.net/standard/mon/mon-06

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.