Compliance handbook
ISO/IEC 42001:2023 Handbook
All 70 controls across 17 domains of ISO/IEC 42001:2023, with the requirement for each.
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Context of the organization
Define the organizational context, interested parties, scope, and AI management system.
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Leadership
Establish leadership commitment, AI policy, responsibilities, and authorities.
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Planning
Plan actions for AI risks, impacts, objectives, opportunities, and changes.
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Support
Provide resources, competence, awareness, communication, and controlled information.
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Operation
Operate controlled processes for AI risk assessment, treatment, and impact assessment.
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Performance evaluation
Monitor, measure, audit, and review the AI management system.
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Improvement
Continually improve and correct AI management system nonconformities.
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Policies related to AI
Set management direction for AI through a documented, aligned, and regularly reviewed AI policy.
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Internal organization
Assign clear roles, responsibilities, and concern-reporting channels for AI across the organization.
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Resources for AI systems
Document the data, tooling, system, computing, and human resources behind each AI system.
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Assessing impacts of AI systems
Assess and document how AI systems affect individuals, groups, and societies across their life cycle.
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Management guidance for AI system development
Set objectives and processes for responsible AI system design and development.
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AI system life cycle
Define requirements, documentation, verification, deployment, operation, and logging for every AI life cycle stage.
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Data for AI systems
Govern how data for AI systems is acquired, checked for quality, traced, and prepared.
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Information for interested parties of AI systems
Give users and other interested parties the information they need to understand, assess, and report on AI systems.
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Use of AI systems
Ensure AI systems are used responsibly, per policy, and within their intended purposes.
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Third-party and customer relationships
Keep responsibilities and risks clearly allocated when suppliers, partners, and customers touch the AI life cycle.
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