Masterclass on AI Policy and Governance

Executive Masterclass on AI Policy and Governance

Building Responsible, Ethical and Future-Ready AI Governance Frameworks

Duration Options

• 1-Day Executive Masterclass
• 2-Day Intensive Executive Programme
• 5-Day Professional Certificate
• 10-Day Executive Certificate in AI Policy & Governance (Recommended)

Course Overview

Artificial Intelligence is rapidly becoming a foundational technology for governments, businesses, education, healthcare, finance, and national security. Yet while organizations are investing heavily in AI, many lack the governance structures, policies, ethical frameworks, and regulatory capabilities necessary to deploy AI responsibly.

This executive masterclass equips policymakers, executives, regulators, and institutional leaders with the knowledge and practical frameworks required to govern AI effectively, manage emerging risks, ensure compliance, and build public trust.

Participants will explore global AI governance trends while developing institution-specific governance frameworks suitable for both developed and emerging economies.

Learning Outcomes

By the end of this programme participants will be able to:

• Understand the AI governance landscape.
• Develop organizational AI policies.
• Design AI governance frameworks.
• Build responsible AI strategies.
• Understand AI ethics and accountability.
• Assess AI risks.
• Implement AI governance structures.
• Develop AI regulatory readiness.
• Govern generative AI within organizations.
• Build AI capability roadmaps.
• Prepare institutions for future AI regulation.

MODULE 1

Understanding Artificial Intelligence

Theme

From Hype to Reality

Topics

• What is Artificial Intelligence?
• AI versus Machine Learning versus Generative AI
• The AI ecosystem
• Evolution of AI
• Current AI capabilities
• AI limitations
• Emerging AI trends

Exercise

AI Maturity Assessment

MODULE 2

Why AI Governance Matters

Topics

• AI opportunities
• AI risks
• Responsible AI
• AI failures and lessons learned
• Public trust
• Organizational accountability
• AI governance versus AI management

Discussion

Should AI be regulated?

MODULE 3

Global AI Policy Landscape

Topics

• Global AI governance trends
• National AI strategies
• International AI principles
• OECD AI Principles
• UNESCO Recommendation on AI Ethics
• G7 Hiroshima AI Process
• African Union Continental AI Strategy
• Regional approaches to AI governance

Workshop

Comparing AI governance models across regions.

MODULE 4

AI Ethics

Topics

• Fairness
• Transparency
• Explainability
• Accountability
• Privacy
• Human rights
• Non-discrimination
• Human oversight
• Trustworthy AI

Case Study

When AI makes harmful decisions.

MODULE 5

AI Risk Management

Topics

• AI risk identification
• Algorithmic bias
• Hallucinations
• Data quality
• Cybersecurity
• AI misuse
• Operational risks
• Third-party AI risks
• AI assurance

Workshop

Conducting an AI Risk Assessment.

MODULE 6

AI Governance Framework

Topics

• Governance principles
• AI governance operating model
• AI governance lifecycle
• Governance committees
• Decision rights
• Policy development
• AI inventory management
• Documentation
• Monitoring

Framework

AI Governance Operating Model

MODULE 7

AI Policy Development

Topics

• Organizational AI policy
• Acceptable AI use
• Employee AI guidelines
• Procurement policies
• Vendor governance
• Data governance
• Intellectual property
• Copyright
• Responsible AI policy

Workshop

Drafting an AI Policy.

MODULE 8

AI and Data Governance

Topics

• Data quality
• Data ownership
• Privacy
• Consent
• Data security
• AI data lifecycle
• Data stewardship
• Data governance frameworks

Exercise

Building an AI Data Governance Framework.

MODULE 9

AI Compliance and Regulation

Topics

• Regulatory compliance
• AI audits
• Internal controls
• Documentation
• Record keeping
• AI accountability
• Compliance monitoring
• Governance reporting

Workshop

AI Compliance Readiness Assessment

MODULE 10

AI in the Workplace

Topics

• AI and HR
• AI recruitment
• AI performance management
• AI surveillance
• Workforce transformation
• Human-AI collaboration
• Employee upskilling
• Change management

Discussion

What becomes of work when AI becomes a co-worker?

MODULE 11

Sector-Specific AI Governance

Topics

Government

Healthcare

Education

Financial Services

Telecommunications

Manufacturing

Energy

Media

Agriculture

Justice

Public Administration

Workshop

Sector-based governance simulation.

MODULE 12

Governing Generative AI

Topics

• ChatGPT governance
• Microsoft Copilot
• Gemini
• Claude
• Enterprise AI
• Prompt governance
• AI content policies
• AI disclosure
• Human review
• Intellectual property

Exercise

Developing an Enterprise Generative AI Policy.

MODULE 13

AI Procurement and Vendor Governance

Topics

• Procuring AI systems
• Third-party AI
• Due diligence
• AI procurement standards
• Vendor accountability
• AI contracts
• AI service agreements

MODULE 14

Organizational AI Strategy

Topics

• AI vision
• AI roadmap
• Capability development
• AI Centre of Excellence
• AI governance committee
• Organizational readiness
• Change leadership

Workshop

Designing an Organizational AI Strategy.

MODULE 15

The Future of AI Governance

Topics

• Artificial General Intelligence (AGI)
• Autonomous AI
• AI agents
• AI diplomacy
• AI geopolitics
• Future regulation
• Workforce implications
• Ethical frontiers

Discussion

What kind of institutions will survive the AI age?

Capstone Project

Participants design a complete AI Governance Framework for their organization including:

• AI Vision
• AI Policy
• Governance Structure
• AI Risk Framework
• Responsible AI Principles
• AI Ethics Charter
• Compliance Framework
• Data Governance Strategy
• AI Implementation Roadmap
• Monitoring Dashboard

Practical Workshops

• AI Readiness Assessment
• AI Risk Assessment
• AI Policy Drafting
• AI Governance Canvas
• AI Ethics Assessment
• AI Procurement Checklist
• AI Impact Assessment
• AI Compliance Audit
• AI Governance Scorecard
• Organizational AI Roadmap

Templates Participants Receive

• AI Governance Framework
• AI Policy Template
• Responsible AI Policy
• AI Risk Register
• AI Ethics Checklist
• AI Procurement Checklist
• AI Project Approval Form
• AI Impact Assessment Template
• AI Governance Maturity Model
• AI Compliance Checklist
• AI Steering Committee Charter
• AI Incident Response Plan

Who Should Attend?

Government

• Ministers
• Permanent Secretaries
• Regulators
• Policymakers
• ICT Authorities
• Data Protection Authorities

Corporate

• CEOs
• CIOs
• CTOs
• Chief Digital Officers
• Chief AI Officers
• Risk Managers
• Compliance Officers
• Internal Auditors
• HR Directors
• Legal Counsel
• Strategy Executives

Education

• Vice Chancellors
• University Leaders
• Researchers
• ICT Directors
• Quality Assurance Managers

Financial Services

• Banks
• Insurance Companies
• FinTech Leaders

Development Organizations

• NGOs
• UN Agencies
• Development Partners
• Multilateral Institutions

Technology

• AI Developers
• Software Engineers
• Data Scientists
• Technology Consultants

Proprietary Frameworks (Your Signature Models)

To differentiate your programme, introduce your own intellectual property throughout the course:

1. AI Governance Maturity Model
2. Responsible AI Decision Framework
3. Institutional AI Readiness Index
4. AI Policy Development Canvas
5. AI Risk & Assurance Framework
6. Human–AI Collaboration Model
7. AI Governance Operating Model
8. AI Ethics-by-Design Framework
9. AI Transformation Roadmap
10. Strategic AI Governance Scorecard

Certification

Participants who successfully complete the programme and capstone project earn the designation:

Certified AI Policy & Governance Professional (CAIGP)

This certification signals that graduates can design, implement, and oversee AI governance systems that are ethical, accountable, secure, and aligned with organizational strategy. It also positions the programme as a bridge between technology, public policy, risk management, and executive leadership—making it highly relevant for governments, universities, corporations, and regulators navigating the AI era.