BEAIGA Module 1: AI Literacy for Boards & Executives
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Module 1: AI Literacy for Boards & Executives
This foundational module develops executive AI literacy by introducing the concepts, terminology, technologies, and strategic implications of Artificial Intelligence. Participants learn how AI creates organisational value and understand the responsibilities of governing AI initiatives
Learning Outcomes
Participants will be able to:
Explain AI terminology
Differentiate AI technologies
Identify organisational AI opportunities
Understand AI value creation
Recognise board oversight responsibilities
Evaluate AI adoption readiness
Lesson 1: AI Fundamentals
Video - 0:10 mins
Lesson 2: Machine Learning
Reading
Lesson 3: Generative AI
Reading
Lesson 4: The AI Lifecycle
Reading
Lesson 5: Enterprise AI Use Cases
Reading
Lesson 6: AI Business Models
Reading
Lesson 7: Emerging AI Technologies
Reading
Lesson 8: AI Trends & Future Outlook
Reading
Module 2: AI Governance Principles
Duration: 8 Hours
Prerequisites: Module 1 – AI Literacy for Boards & Executives
Module Description
This module introduces the principles, frameworks, and governance structures required for effective oversight of Artificial Intelligence within an organisation. Participants explore internationally recognised governance frameworks, including King V, ISO/IEC 42001 (Artificial Intelligence Management Systems), ISO/IEC 38507 (Governance Implications of AI), ISO/IEC 23894 (AI Risk Management), the NIST AI Risk Management Framework, and other leading governance models.
Participants will learn how Boards and Executive Management establish governance structures, assign accountability, oversee AI investments, manage ethical and regulatory obligations, and ensure AI initiatives deliver sustainable business value while maintaining stakeholder trust.
Module Assessment
Assessment Weight
Knowledge Assessment (50 Questions) 20%
Governance Case Study 20%
Board Workshop Participation 10%
SkillSim Governance Simulations 30%
AI Governance Framework Project 20%
Module Final Deliverables
Upon completion of this module, participants will develop a comprehensive Enterprise AI Governance Toolkit, including:
AI Governance Charter
AI Governance Policy Framework
AI Governance Operating Model
AI Governance Committee Structure
Roles and Responsibilities (RACI Matrix)
Board Oversight Framework
AI Governance Maturity Assessment
AI Governance Roadmap (12–24 Months)
Board Resolution for AI Governance Adoption
Executive Governance Dashboard
These artefacts provide participants with practical, board-ready governance documentation that can be adapted and implemented within their own organisations, reinforcing the programme's emphasis on applied executive leadership and governance excellence.
Lesson 1: Foundations of AI Governance
Video - 0:10 mins
Lesson 2: International AI Governance Frameworks
Reading
Lesson 3: Governance Structures & Operating Models
Reading
Lesson 4: AI Governance Committees
Reading
Lesson 5: Roles, Responsibilities & Accountability
Reading
Lesson 6: Board Oversight & Strategic Decision-Making
Reading
Lesson 7: AI Governance Policies & Charters
Reading
Lesson 8: AI Governance Maturity Assessment
Reading
Module 3: Responsible AI & AI Ethics
Duration: 8 Hours
Prerequisites: Module 1 – AI Literacy for Boards & Executives, Module 2 – AI Governance Principles
Module Description
Artificial Intelligence has the potential to transform organisations, but it also introduces ethical, societal, legal, and governance challenges. This module equips Board Members and Executives with the knowledge and practical skills required to govern AI responsibly, ensuring that AI systems are ethical, transparent, accountable, secure, inclusive, and aligned with organisational values.
Participants will explore globally recognised Responsible AI principles, including those from ISO/IEC 42001, ISO/IEC 38507, the NIST AI Risk Management Framework, the OECD AI Principles, UNESCO Recommendation on the Ethics of Artificial Intelligence, and Microsoft Responsible AI. Through realistic boardroom simulations, learners will evaluate ethical dilemmas, balance innovation with accountability, and strengthen stakeholder trust.
What Will I Learn?
By the end of this module, you will be able to:
Understand the principles of Responsible AI and AI Ethics.
Recognise ethical risks associated with AI systems.
Apply fairness, transparency, accountability, and explainability principles.
Evaluate AI systems for bias, discrimination, and unintended consequences.
Develop ethical governance frameworks and organisational policies.
Integrate Responsible AI into enterprise governance structures.
Make informed ethical decisions regarding AI investments and deployments.
Build public trust through ethical AI governance.
Lesson 1: Introduction to Responsible AI
Reading
Lesson 2: AI Ethics Principles
Reading
Lesson 3: Bias, Fairness & Non-Discrimination
Reading
Lesson 4: Explainability & Transparency
Reading
Lesson 5: Human Oversight & Accountability
Reading
Lesson 6: Ethical AI by Design
Reading
Lesson 7: AI Ethics Policies & Governance
Reading
Lesson 8: Building Trustworthy AI Organisations
Reading
SkillSim Capstone Simulation: AI Ethics Tribunal
Reading
Duration: 60 Minutes
Description
Concludes the module by focusing on organisational trust, stakeholder engagement, and continuous improvement.
Topics Covered
- Trustworthy AI
- Stakeholder Engagement
- Reputation Management
- Continuous Monitoring
- Ethics Metrics
- AI Culture
- Responsible Innovation Roadmap
What Will I Learn?
You will learn to:
- Build trust in AI.
- Engage stakeholders.
- Measure ethical performance.
- Promote a responsible AI culture.
- Develop continuous improvement plans.
Learning Outcomes
Participants will:
- Strengthen organisational trust.
- Monitor Responsible AI performance.
- Drive continuous improvement.
- Lead ethical AI transformation.
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