ISO/IEC 42001:2023

ISO/IEC 42001:2023 is the first international standard for an AI Management System (AIMS). Published December 2023, it provides a framework for organizations to manage AI systems responsibly throughout their lifecycle.

CRP's architecture aligns with ISO 42001's requirements by design.

What is ISO 42001?

ISO 42001 follows the Annex SL high-level structure (same as ISO 27001, ISO 9001) with AI-specific requirements. It covers:

• Establishing an AI management system
• AI risk assessment and treatment
• AI system lifecycle management
• Responsible AI development and deployment

CRP Alignment

Clause 4 — Context of the Organization

Requirement	CRP Implementation
Understanding AI-specific context	10 design axioms define protocol boundaries
Interested parties and requirements	Provider-agnostic design, zero lock-in
Scope of the AIMS	Protocol specification §1–§9

Clause 5 — Leadership

Requirement	CRP Implementation
AI policy	Elastic License 2.0 + governance framework
Roles and responsibilities	RBAC with OBSERVER / OPERATOR / ADMIN roles
Organizational roles	Security specification §7 defines trust zones

Clause 6 — Planning

Requirement	CRP Implementation
AI risk assessment	RiskClassifier.assess() — 7 risk dimensions
AI risk treatment	Automatic mitigations per risk level
AI objectives	Quality tiers (S/A/B/C/D) with measurable targets

Clause 7 — Support

Requirement	CRP Implementation
Competence	Certification pathway (Education & Certification pillar)
Awareness	Comprehensive documentation, demo app
Communication	Quality reports, session status, envelope preview
Documented information	Event-sourced fact model, audit trails

Clause 8 — Operation

Requirement	CRP Implementation
AI system lifecycle	Session lifecycle (create → ingest → dispatch → close)
AI system impact assessment	Risk classifier + quality tier assessment
Data management	4-tier memory hierarchy with encryption at rest
AI system development	6-stage extraction, quality gates, 3-tier validation

Clause 9 — Performance Evaluation

Requirement	CRP Implementation
Monitoring and measurement	Real-time quality scoring $Q(t, w)$
Internal audit	HMAC-SHA256 audit trail with chain verification
Management review	ComplianceReporter.generate_report()

Clause 10 — Improvement

Requirement	CRP Implementation
Nonconformity and corrective action	Re-grounding on degradation, echo detection
Continual improvement	CKF cross-session learning, meta-learning (ORC/ICML/RTL)

Annex A — AI Controls

ISO 42001 Annex A defines 39 controls across 4 domains. CRP provides technical implementation for:

Domain	Controls	CRP Coverage
A.2 — Policies for AI	4 controls	Protocol axioms, security spec
A.3 — Internal organization	3 controls	RBAC, trust zones
A.4 — Resources for AI	4 controls	Hardware-adaptive config
A.5 — Assessing impacts	4 controls	Risk classifier, quality tiers
A.6 — AI system lifecycle	10 controls	Full lifecycle management
A.7 — Data for AI	5 controls	Extraction pipeline, fact validation
A.8 — Information for AI	4 controls	Transparency declarations
A.9 — Use of AI	3 controls	Human oversight, session controls
A.10 — Third parties	2 controls	Provider-agnostic adapters

Annex B — AI Objectives

ISO 42001 Annex B requires measurable AI objectives. CRP provides these through its quality system:

Objective	Metric	CRP Measurement
Accuracy	Quality tier	S / A / B / C / D with degradation %
Reliability	Window success	Quality score $Q(t, w)$ per window
Transparency	Audit completeness	Chain verification (valid/broken)
Fairness	Bias indicators	Multi-aspect decomposition balance
Security	Vulnerability count	8-layer security, OWASP coverage

Integration with Other Standards

ISO 42001 is designed to integrate with:

• ISO 27001 (Information Security) — CRP's security layers align
• ISO 9001 (Quality Management) — CRP's quality tiers provide measurement
• ISO 31000 (Risk Management) — CRP's risk classifier follows this structure

CRP's event-sourced, auditable architecture makes cross-standard compliance evidence straightforward to produce.