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Crosswalk to Existing AI and Technology Governance Frameworks

Purpose

This document demonstrates alignment and interoperability with widely used international frameworks. It is intended to:

  • reduce duplication,
  • improve legibility for regulators and auditors, and
  • identify where this corpus adds value (e.g., ethical traceability and AI+QC integration).

This crosswalk is non-normative.

Scope

The crosswalk focuses on high-level concepts and control families. Detailed, clause-by-clause mappings may be added over time.

NIST AI Risk Management Framework (AI RMF)

NIST AI RMF organizes activities into four functions: GOVERN, MAP, MEASURE, MANAGE.

NIST AI RMF FunctionRelated Corpus Areas
GOVERN00_foundations/*, 01_governance/*, VERSIONING.md, ETHICAL_TRACEABILITY.md, 05_audit_and_assurance/*
MAP04_risk_framework/risk_classification.md, 00_foundations/scope_and_non_scope.md, case studies in 06_case_studies/*
MEASURE02_ai_standards/* (evaluations), 05_audit_and_assurance/metrics.md, testing evidence requirements
MANAGE02_ai_standards/safety.md, 02_ai_standards/accountability.md, incident response and change control requirements

ISO/IEC AI Risk Management Standards (e.g., ISO/IEC 23894)

ISO/IEC AI risk management guidance emphasizes lifecycle risk processes, governance, documentation, and continuous improvement.

ISO/IEC Risk TopicRelated Corpus Areas
Governance and accountability01_governance/governance_model.md, 02_ai_standards/accountability.md
Risk assessment and treatment02_ai_standards/safety.md, 04_risk_framework/risk_classification.md
Documentation and transparency02_ai_standards/transparency_and_explainability.md, 05_audit_and_assurance/audit_methods.md
Monitoring and improvement05_audit_and_assurance/metrics.md, incident and remediation expectations

OECD AI Principles

The OECD AI Principles emphasize inclusive growth, human-centered values, transparency, robustness/security, and accountability.

OECD Principle ThemeRelated Corpus Areas
Human-centered values and fairness00_foundations/ethical_axioms.md (A1–A3), 02_ai_standards/fairness_and_justice.md
Transparency and responsible disclosure02_ai_standards/transparency_and_explainability.md, 03_quantum_standards/cryptographic_and_security_risk.md (claim controls)
Robustness, security, and safety02_ai_standards/safety.md, 03_quantum_standards/national_security.md
Accountability02_ai_standards/accountability.md, 05_audit_and_assurance/*

UNESCO Recommendation on the Ethics of AI

UNESCO’s recommendation addresses human rights, transparency, accountability, sustainability, and governance mechanisms.

UNESCO ThemeRelated Corpus Areas
Human rights and dignity00_foundations/ethical_axioms.md (A2, A3), contestability requirements across AI standards
Transparency and explainability02_ai_standards/transparency_and_explainability.md
Accountability and governance01_governance/*, 05_audit_and_assurance/*, ETHICAL_TRACEABILITY.md
Sustainability00_foundations/ethical_axioms.md (A7), 05_audit_and_assurance/metrics.md

Where This Corpus Adds Value (Non-exhaustive)

  • Ethical traceability as a compliance primitive: mandatory requirement-to-axiom-to-evidence mapping (ETHICAL_TRACEABILITY.md).
  • Unified AI + Quantum dual-use framing: QC-specific controls integrated into tiering and assurance.
  • Moratorium-capable governance for Tier 3 systems: explicit pause/escalation mechanisms (ESCALATION_AND_PAUSE.md).

Maintenance

Crosswalk updates SHOULD accompany MINOR releases when new standards are added or when external frameworks materially evolve.