Strategic AI Governance, Responsible AI & ISO 42001 Training Course

Artificial intelligence has moved from experiment to infrastructure. Loan approvals, medical triage, recruitment screening, content moderation and public benefit decisions are increasingly shaped by models that few people in the organisation fully understand. Meanwhile, generative tools spread through business units without approval, creating confidentiality, copyright and accuracy risks. Regulators and standard setters have responded with binding rules and management system standards, and trading partners increasingly ask suppliers to demonstrate responsible practice.

This ten-day programme gives leaders and specialists a complete route from principle to certifiable practice. The first half establishes governance: strategy, inventory of AI systems, risk tiers, roles for owners and committees, policy architecture and the requirements of ISO/IEC 42001 clause by clause. The second half goes deeper into the controls that make the system real, including impact assessment, data quality and provenance, fairness and robustness testing, transparency and human oversight, third-party and generative AI management, monitoring, incident handling and internal audit. A final integrated project asks each participant to assemble an implementation plan.

Teaching combines expert briefings, templates, case files and lab exercises on sample models. Participants leave with policies, registers and assessment tools they can deploy immediately in their own organisations.

By the end of the course, participants will be able to:

• Develop an AI governance strategy aligned with organisational objectives and risk appetite.
• Explain the requirements of ISO/IEC 42001 and map them to existing management systems.
• Classify AI systems by risk and apply proportionate controls under the NIST AI RMF and the EU AI Act.
• Conduct AI impact assessments covering privacy, fairness, safety and societal effects.
• Test models for bias, robustness and explainability and interpret the findings.
• Govern data, third-party AI services and generative AI use through clear policies.
• Plan monitoring, incident response and internal audit for AI systems.
• Prepare an organisation for external certification against ISO/IEC 42001.

The programme is for leaders and specialists who direct, build, buy, assure or regulate AI, including:

• Chief information, data, technology and risk officers
• Compliance, ethics and data protection officers
• Internal and external auditors and assurance providers
• Legal counsel and company secretaries
• Data science, machine learning and product managers
• Digital transformation and innovation directors
• Public sector regulators and policy makers
• Banking, insurance, health and telecom governance leads
• Procurement leads buying AI-enabled solutions

Participants leave the programme with:

• An AI system inventory template and risk classification method.
• A draft AI policy set covering acceptable use, generative AI and third-party AI.
• A completed impact assessment on a selected use case.
• A bias and fairness testing checklist with interpretation guidance.
• An ISO/IEC 42001 gap analysis and statement of applicability outline.
• An internal audit programme and incident response playbook for AI.
• A phased implementation plan and board briefing paper.

Over two weeks, learning moves from concepts to assurance practice. The programme uses:

• Expert-led briefings on standards, regulation and emerging practice
• Case files from finance, health, recruitment and public services
• Lab exercises on sample models and datasets for fairness and robustness checks
• Template workshops for policies, registers and impact assessments
• An integrated project presented to a panel on the final day

Participants who attend the full ten days and complete the practical exercises and integrated project receive a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy. The certificate evidences training attendance and does not constitute certification of any organisation against ISO/IEC 42001.