Governments, regulators and organisations are moving quickly from high-level AI ethics statements to enforceable rules, certifiable management systems and sector guidance. The European Union has adopted a comprehensive AI regulation with obligations that reach providers outside Europe, international bodies have agreed common principles, and standards bodies have published a growing family of AI management and risk standards. For African and emerging-market institutions, the question is how to align with these developments in a way that fits local priorities, capacities and legal traditions.

The Policy and Regulatory Frameworks for AI Governance, Responsible AI & ISO 42001 Training Course provides a structured route through this material. The first week builds a firm foundation: AI concepts and risks, the principles of responsible AI, the main international and regional instruments, the interaction with data protection, consumer and anti-discrimination law, and the requirements of ISO/IEC 42001 and its companion standards. The second week is applied. Participants design regulatory options and draft policy, prepare an AI impact assessment, structure a conformity and audit regime, examine sector-specific approaches in financial services, health and public administration, and address generative AI and general-purpose models. The course ends with an integrated project in which each participant or team produces a policy or governance package for a real or realistic institution.

Delivery mixes expert briefings with close reading of the instruments themselves, comparative tables, drafting labs and simulated consultations. Participants leave with documents they can adapt, not just notes.

By the close of the ten days, participants will be able to:

• Explain the main AI risks and the principles of responsible AI, including fairness, transparency, accountability and human oversight.
• Compare the EU AI Act, OECD AI Principles, UNESCO Recommendation, Council of Europe Framework Convention and NIST AI RMF.
• Interpret the requirements of ISO/IEC 42001 and related standards for an AI management system.
• Analyse how data protection, consumer protection and sector regulation apply to AI systems.
• Design regulatory options, including risk-based rules, sandboxes and co-regulation, using regulatory impact assessment.
• Draft national, sector or organisational AI policies with clear roles, obligations and enforcement.
• Conduct AI impact assessments and plan conformity assessment, audit and incident reporting.
• Develop an implementation roadmap that matches institutional capacity and stakeholder expectations.

The programme is written for professionals shaping or applying AI rules, including:

• ICT, communications and data protection regulators
• Central bank, capital markets and insurance supervisors overseeing AI use
• Policy analysts in ministries responsible for ICT, innovation and the digital economy
• Legal counsel and compliance officers in technology-intensive organisations
• Data protection officers and privacy professionals
• Chief risk officers and enterprise risk managers
• Chief information, data and technology officers
• ISO management system implementers and internal auditors
• Researchers and civil society advocates working on digital rights
• Development partner staff supporting digital governance reform

Over the ten days, participants assemble:

• A comparative matrix of the major international AI governance instruments.
• An ISO/IEC 42001 gap assessment for a selected organisation.
• An AI system inventory and risk classification template.
• A completed AI impact assessment for a high-risk use case.
• A set of drafted policy clauses covering roles, obligations, oversight and sanctions.
• A regulatory impact assessment comparing at least two policy options.
• An audit and conformity assessment checklist for AI systems.
• An integrated governance package presented and refined through peer review.

The programme combines close study of primary texts with drafting and assessment practice. It draws on:

• Guided reading of the regulations, principles and standards using comparative tables
• Drafting laboratories where participants write and critique policy clauses
• Impact assessment and gap assessment workshops on realistic AI use cases
• Simulated public consultations and multi-regulator negotiations
• Sector case files from banking, health, education and public administration
• An integrated capstone project presented to peers and facilitators

Each participant who attends the full ten days and submits the capstone governance package receives a CPD-accredited Certificate of Completion issued by Vision Reach Global Consultancy.

The certificate is a record of training and does not constitute ISO/IEC 42001 lead auditor or lead implementer certification, which is assessed separately by certification bodies.