Participate in Canadian AI Standard Development
WHY PARTICIPATE
Shape the Future of AI Governance
This Technical Specification (TS) extends ISO/IEC 21839 (Systems and software engineering — System of systems considerations in life cycle stages) into the AI domain. By participating, you will help define how organizations manage the complex relationships between AI systems and their broader ecosystems.
WHY PARTICIPATE
Drive the Next Generation of AI Management Systems
This Technical Specification (TS) operationalizes ISO/IEC 42001 (Artificial intelligence — Management systems) by embedding agentic AI into its systematic approach to process and product improvement. Your participation will shape how organizations autonomously manage and enhance their AI systems.
AI Systems of Systems (AI SoS)
Comprehensive System Interoperability Framework
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Requirements and guidance for identifying, tracking, and monitoring unique dynamics of AI systems
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Protocols for managing interactions between AI systems and non-AI systems
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Clear criteria for when organizations can deploy AI agents to apply controls over AI systems and their linked infrastructures
Universal Applicability
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Context-neutral approach that works across all AI types, system architectures, and organizational settings
Your Impact
By contributing your expertise, you will directly influence existing national standards by overlaying how to govern how AI systems of systems operate, interact, and maintain accountability across Canadian industry and beyond.
Agentic AI-System Driven AI Product Innovation
Agentic PDCA Framework
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Requirements to build or supply AI-driven Plan-Do-Check-Act frameworks that execute 42001's mandated improvement cycles autonomously
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AI agents that independently drive continual process improvement and product innovation throughout AI system design and development
Comprehensive Lifecycle Integration
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Agentic AI applied across all 42001 management system processes:
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Planning and preparation
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Purpose definition and data governance
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Development and deployment
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Monitoring and transparency
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User reporting and redress mechanisms
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Decommissioning protocols
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Universal Design
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Flexible framework that adapts to any AI system type or organizational context without prescriptive constraints
Your Impact
By contributing, you will define the standards for autonomous AI self-governance—establishing how AI agents can independently manage, optimize, and improve AI systems while maintaining accountability and alignment with international management system requirements.