THE AIC STANDARDS FRAMEWORK
A Unified Architecture for Intelligent-System Governance
The AIC Standards Framework is a developing suite of international standards designed to support the governance, security, interoperability, and continuous assurance of intelligent systems.
Developed through an evidence-based approach, the framework addresses organizational accountability, AI risk management, system lifecycle integrity, cybersecurity, and emerging technologies.
AICI's objective is to establish practical, measurable requirements that help organizations demonstrate responsible AI development, deployment, and ongoing operational assurance.
AI Enablement | Interoperability | Continuous Assurance
The AICI International Standards Suite is being developed to support the responsible advancement of artificial intelligence and emerging intelligent technologies.
Built upon three foundational pillars, AI Enablement, Interoperability, and Continuous Assurance, the framework seeks to establish consistent, machine-verifiable approaches to governance, system integration, risk management, lifecycle accountability, and human oversight.
Together, these developing standards aim to help organizations innovate responsibly, demonstrate measurable assurance, and maintain operational trust across evolving technological environments.
01 | GOVERNANCE & RISK
AI Governance, Risk Management & Compliance
AIC Standards for AI Security, Transparency, Accountability and Responsible Governance
AIC-1000 | Governance & Organization: Establishes organizational governance, leadership accountability, policy oversight, and responsible AI management.
AIC-2000 | AI Risk & Security: Addresses AI risk assessment, cybersecurity, operational resilience, threat management, and system protection.
AIC-3000 | Transparency & Ethical Controls: Establishes transparency, explainability, ethical oversight, human accountability, and responsible intelligent-system operation.
02 | LIFECYCLE & SUSTAINABILITY
AIC-4000 | LIFECYCLE MANAGEMENT
Governs intelligent-system lifecycle processes, including design, development, validation, deployment, monitoring, maintenance, and retirement.
AIC-5000 | ENVIRONMENTAL COMPLIANCE & SUSTAINABILITY
Addresses environmental impact, resource efficiency, energy consumption, sustainability considerations, and responsible infrastructure management.
AIC-6000 | ENTERPRISE IT SYSTEMS GOVERNANCE
Establishes governance principles for enterprise technology integration, infrastructure security, operational resilience, information management, and intelligent-system oversight.
03 | SAFETY & ASSURANCE
AIC-7000 | SAFETY-CRITICAL & PHYSICAL SYSTEMS
Establishes governance and assurance requirements for intelligent technologies operating in safety-critical environments, physical infrastructure, robotics, and cyber-physical systems.
AIC-8000 | HUMAN FACTORS & SOCIO-TECHNICAL GOVERNANCE
Addresses human oversight, workforce transition and retraining, competency development, accessibility, organizational impacts, and human-system interaction.
AIC-9000 | QUALITY, ASSURANCE & CERTIFICATION CONTROL
Establishes principles for quality management, evidence-based assurance, conformity assessment, certification governance, and ongoing compliance oversight.
04 | REGULATORY & SECTOR GOVERNANCE
AIC-10000 | GLOBAL LEGAL & REGULATORY HARMONIZATION
Develops approaches for mapping and aligning intelligent-system governance requirements across jurisdictions, regulatory frameworks, and international standards.
AIC-11000 | SECTOR-SPECIFIC GOVERNANCE
Establishes adaptable governance, professional competency, assurance, and risk-control requirements proportionate to the operational and regulatory needs of individual industry sectors.
AIC-12000 | CROSS-BORDER COMPLIANCE ARCHITECTURE
Addresses international interoperability, jurisdictional obligations, cross-border governance, and coordinated compliance approaches for intelligent systems operating across national boundaries.
SUPPORTING FRAMEWORKS
AIC-2600 | BLOCKCHAIN ANCHORING STANDARD
Establishes governance principles for blockchain-supported evidence integrity, traceability, verification, and trustworthy compliance records across intelligent-system environments.
AIC-MFS | METADATA & DIGITAL THREAD FRAMEWORK
Establishes principles for metadata governance, consistency, traceability, interoperability, and lifecycle assurance across all system architectures, including standalone, interconnected, distributed, and hybrid systems, regardless of technology, deployment environment, or operational sector.
STANDARDS DEVELOPMENT STATUS
The AIC Standards Framework and its supporting frameworks are currently in development. AICI is establishing the governance principles, technical requirements, assurance methodologies, and conformity assessment approaches that will inform future standards publications.
The descriptions presented here are preliminary and do not constitute finalized standards, certification requirements, accreditation, or regulatory approval. Future publications will identify their applicable scope, version, approval status, and effective date.
INTELLECTUAL PROPERTY & STANDARDS PROTECTION
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Unless otherwise expressly indicated, AICI reserves all rights in its original copyright-protected materials.
Public access to AICI's developing standards catalogue is provided for informational and research purposes. Such access does not grant a general license to reproduce, redistribute, adapt, or commercially exploit AICI's protected documentation.
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Publication of general standards descriptions does not disclose or license AICI's unpublished proprietary methodologies, confidential research, technical implementations, or patent-related inventions.
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