Skip to main content
COMPEL Body of Knowledge

COMPEL Glossary / GL-25

Human Validation Rules

A formal specification of every decision point in an AI system's operation where human review, approval, or override is required — including the trigger conditions, review timeline, escalation path, and documentation requirements for each rule.

What this means in practice

These rules operationalize the human-in-the-loop principle by making it concrete, auditable, and enforceable rather than aspirational.

Context in the COMPEL framework

Produced in the Model stage based on AI system classification. Human validation rules are activated as governance controls in the Produce stage and tested in the Evaluate stage.

Where you see this

Human Validation Rules is most commonly referenced when teams work across the Model , Produce and Evaluate stages — especially within the Operational Readiness layer . It appears in governance artifacts, assessment instruments, and delivery playbooks wherever COMPEL is operationalized.

Related COMPEL stages

Related domains

Synonyms

human-in-the-loop rules , oversight rules , human review requirements

Related Terms Network

This diagram shows how Human Validation Rules connects to other concepts in the COMPEL body of knowledge. Each linked node is a term you can explore in turn.

Related terms for Human Validation Rules Network graph showing 3 related glossary terms connected to Human Validation Rules. Human Validati… Agent Auto… Control Re… AI System …
3 related concepts connected to Human Validation Rules.
Accessible list of related terms
  • Agent Autonomy Classification — A formal classification of every AI agent in scope according to its autonomy level — from level 0 (no autonomy, human executes) through level 4 (full autonomy, agent executes without human involvement) — with corresponding governance requirements, approval boundaries, and monitoring obligations assigned at each level.
  • Control Requirements Matrix — A comprehensive mapping of every governance control required for each AI system — specifying the control type (preventive, detective, corrective), the risk or policy it addresses, the evidence required to prove effectiveness, the owner, and the testing frequency.
  • AI System Classification Register — A formal register that classifies every AI system in scope according to risk tier, autonomy level, data sensitivity, regulatory applicability, and criticality — producing a system-level risk profile that determines which governance controls, review processes, and compliance requirements apply.

See also

  • Agent Autonomy Classification — A formal classification of every AI agent in scope according to its autonomy level — from level 0 (no autonomy, human executes) through level 4 (full autonomy, agent executes without human involvement) — with corresponding governance requirements, approval boundaries, and monitoring obligations assigned at each level.
  • Control Requirements Matrix — A comprehensive mapping of every governance control required for each AI system — specifying the control type (preventive, detective, corrective), the risk or policy it addresses, the evidence required to prove effectiveness, the owner, and the testing frequency.
  • AI System Classification Register — A formal register that classifies every AI system in scope according to risk tier, autonomy level, data sensitivity, regulatory applicability, and criticality — producing a system-level risk profile that determines which governance controls, review processes, and compliance requirements apply.

Related Terms

Other glossary terms mentioned in this entry's definition and context.