ISO/IEC 42001:2023
AI Management System (AIMS) support for responsible AI
A practical, structured approach to govern AI safely, transparently, ethically, and accountably—aligned to ISO/IEC 42001 and integrated with your existing management systems.
ISO/IEC 42001:2023 (AIMS)
Build trust and governance for AI—before AI becomes a risk.
ISO/IEC 42001 is the international standard for an Artificial Intelligence Management System (AIMS). It helps organisations govern AI responsibly—covering leadership, risk, data, transparency, human oversight, and continual improvement—so AI is deployed safely, ethically, and with accountability.
Overview
What is ISO/IEC 42001:2023?
ISO/IEC 42001:2023 is the international standard for Artificial Intelligence Management Systems (AIMS). It provides a framework for organisations to develop, deploy, and manage AI systems responsibly—similar in concept to ISO 9001 (Quality), ISO 14001 (Environment), and ISO 45001 (Occupational Health & Safety), but focused specifically on AI governance.
Key purpose
The standard helps organisations ensure that AI systems are safe, transparent, ethical, accountable, and properly managed throughout their lifecycle.
Why it matters
As AI is increasingly used in decision-making, ISO/IEC 42001 helps organisations manage AI risks, build trust with stakeholders, and support compliance with emerging AI regulations.
Key areas covered
- AI governance and leadership
- Risk management for AI systems
- Data management
- Transparency and explainability
- Human oversight
- Monitoring and continual improvement
- Responsible AI use
Example relevance to EHS
For EHS/OSH professionals, ISO/IEC 42001 is especially relevant when AI is used for safety monitoring systems, predictive risk analytics, incident investigation tools, worker monitoring technologies, and automation/robotics safety—helping ensure these systems are managed responsibly and do not create new risks.
Services
How I can help
I support organisations in setting up and implementing ISO/IEC 42001—so AI governance is practical, auditable, and integrated with how you already work.
AI governance & readiness assessment
Assess current AI use, map stakeholders and responsibilities, and identify gaps against ISO/IEC 42001 requirements.
AI risk identification & management
Identify safety, ethical, operational, and data-related risks; define controls; and build an AI risk register aligned to your use cases.
AIMS framework development
Develop the AIMS components you need—policies, procedures, governance structure, controls, and documentation.
Implementation support
Embed ISO/IEC 42001 into day-to-day operations and align it with existing management systems (e.g., ISO 9001/14001/45001).
Training & capacity building
Workshops for leadership and teams on responsible AI practices and the practical requirements of ISO/IEC 42001.
Internal audit & certification preparation
Readiness reviews, internal audits, and support to prepare for certification with evidence, documentation, and continual improvement.
Relevance to EHS/OSH
Safety monitoring systems
Govern AI-enabled monitoring so it improves safety without creating new privacy, bias, or reliability risks.
Predictive risk analytics
Ensure models are validated, monitored, and explained—so predictions support decisions responsibly.
Investigations, worker monitoring & robotics
Apply oversight and controls for incident-investigation tools, worker monitoring technologies, and automation/robotics safety.
Engagement Options
Choose what fits your needs: 1:1 advisory/coaching, team workshops, or an implementation project to build and embed an ISO/IEC 42001-aligned AIMS.
Ready to set up ISO/IEC 42001?
Tell me your AI use cases and current management-system setup. I’ll recommend a practical path to governance, implementation, and certification readiness.
What ISO/IEC 42001 is
ISO/IEC 42001:2023 is the international standard for an Artificial Intelligence Management System (AIMS). It provides a management-system framework—similar in concept to ISO 9001 (Quality), ISO 14001 (Environment), and ISO 45001 (OH&S)—but focused specifically on the governance and lifecycle management of AI systems.
Why it matters
Build trust and reduce AI risk as adoption scales
As AI becomes embedded in business processes and decision-making, organisations need clear governance to manage risk, demonstrate accountability, and prepare for evolving regulation and stakeholder expectations.
Reduce operational, safety, and compliance risk
Identify and control AI-related risks across the system lifecycle—from design and procurement to deployment, monitoring, and change management.
Strengthen transparency and human oversight
Define roles, responsibilities, and controls so AI outputs are explainable, reviewed appropriately, and used within agreed boundaries.
Demonstrate responsible AI governance
Establish policies, objectives, and evidence that support ethical, accountable AI use—internally and with customers, regulators, and partners.
Enable continual improvement
Set up monitoring, performance measures, incident handling, and review cycles to improve AI controls over time.
Key areas covered
What ISO/IEC 42001 addresses
ISO/IEC 42001 provides a structured way to manage AI systems responsibly, with controls spanning governance, risk, data, oversight, and performance.
Governance and leadership
Policy, objectives, roles and responsibilities, accountability, and decision-making structures for AI.
AI risk management
Risk identification, evaluation, treatment, and controls for safety, ethical, operational, and data-related risks.
Data management, transparency, and explainability
Data quality and handling, documentation, traceability, and appropriate transparency for intended users and stakeholders.
Human oversight, monitoring, and continual improvement
Human-in-the-loop controls, performance monitoring, incident handling, audits, management review, and improvement actions.
How I help
Support across the full journey of establishing and implementing an AI Management System aligned to ISO/IEC 42001—practical, evidence-based, and tailored to your organisation.
AI governance & readiness assessment
Understand your current AI use, map stakeholders, and identify gaps against ISO/IEC 42001 requirements.
AI risk identification & management
Facilitate risk workshops and build a risk register and controls for AI systems and AI-enabled processes.
AIMS framework development
Design policies, procedures, roles, documentation, and governance structures required for an effective AIMS.
Implementation support
Integrate ISO/IEC 42001 into existing management systems and operational processes; support rollout and change management.
Training & capacity building
Workshops for leaders and teams on responsible AI, practical governance, and how to meet ISO/IEC 42001 expectations.
Internal audit & certification preparation
Readiness reviews, internal audits, evidence checks, and support to prepare for certification assessments.
Relevance to EHS / OSH use cases
Safety monitoring & analytics
Govern AI used in safety monitoring systems, predictive risk analytics, and alerting—ensuring appropriate oversight, validation, and controls.
Incident investigation & reporting
Use AI to summarise evidence, draft reports, and identify contributing factors while managing bias, traceability, and human review.
Worker monitoring, automation & robotics
Manage ethical, privacy, and safety risks when AI is used in worker monitoring technologies, automation, and robotics safety.
Ready to set up ISO/IEC 42001 in your organisation?
Book a call to discuss scope, current AI use, and a practical implementation plan—or reach out with questions.
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Tell me what you’re building with AI
Share your AI use cases, industry context, and what “responsible AI” needs to look like for your team. I’ll respond with next steps.