Training on AI Ethics Board Establishment and Governance Verified listing

Training on AI Ethics Board Establishment and Governance

Learn how to establish and govern an AI Ethics Board to ensure responsible, transparent, and compliant AI use across government, NGOs, and corporates in Africa

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261+ Participants

Level:Intermediate

Format:In-Person & OnlineDuration:5 DaysCertification
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Course Overview

AI is no longer just a technology decision  it’s a governance, trust, and leadership challenge.

Across Africa and the Middle East, organizations are adopting AI in public services, healthcare, finance, HR, security, and customer engagement. But without clear ethical oversight, AI systems can reinforce bias, violate privacy, erode public trust, and expose institutions to legal and reputational risk.

This course focuses on one critical solution: establishing a strong AI Ethics Board.

You’ll learn how to design, structure, and govern an AI Ethics Board that is credible, practical, and aligned with your organizational realities  not a symbolic committee that exists only on paper. The training speaks directly to government institutions, NGOs, regulators, and corporates that want to deploy AI responsibly while maintaining public confidence and strategic control.

Duration
5 Days

Who Should Attend
Senior government officials and policymakers
Board members and executive leadership teams
Compliance, risk, and governance professionals
NGO and development organization leaders
Legal, data protection, and ethics officers
Digital transformation and AI program leads
Internal audit and oversight teams
Course Impact

Individual Impact

Understand AI ethics beyond abstract principles
Gain confidence participating in or leading AI Ethics Boards
Improve decision-making around high-risk AI use cases
Strengthen governance and oversight capabilities
Enhance leadership credibility in AI-driven initiatives
Organizational Impact

Reduce ethical, legal, and reputational AI risks
Build public and stakeholder trust in AI systems
Improve compliance with emerging AI regulations
Ensure AI aligns with institutional values and mandates
Create clear accountability for AI decisions

Course Objectives

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

Explain the role and importance of AI Ethics Boards
Design the structure, mandate, and authority of an AI Ethics Board
Define ethical review processes for AI systems
Integrate ethics governance into existing decision frameworks
Address conflicts, transparency, and accountability challenges
Develop a practical roadmap for AI ethics governance
Course Outline

Module 1: Why AI Ethics Governance Matters

The real-world risks of unchecked AI
Ethical failures and public trust erosion
AI governance challenges in Africa & Middle East
Why ethics must sit at board level
Exercise: Identify AI risks in your organization
Case Study: Public backlash due to poor AI oversight
Module 2: What Is an AI Ethics Board?

Purpose and scope of an AI Ethics Board
Advisory vs decision-making authority
Ethics boards vs compliance committees
Common mistakes and false starts
Practical: Define the mandate of an AI Ethics Board
Case Study: Successful ethics board models
Module 3: Structuring the AI Ethics Board

Membership composition and diversity
Internal vs external experts
Independence and conflict-of-interest management
Reporting lines and escalation mechanisms
Exercise: Design an ethics board structure
Case Study: Balancing independence and authority
Module 4: Ethics Review Processes and Decision-Making

Ethical risk assessment for AI systems
Reviewing high-impact and high-risk AI use cases
Documentation, transparency, and traceability
Handling disagreements and ethical dilemmas
Practical: Conduct a mock AI ethics review
Case Study: Approving or rejecting an AI deployment
Module 5: Operating, Measuring, and Sustaining the Board

Integrating ethics into AI lifecycle governance
Monitoring outcomes and accountability
Communicating decisions internally and externally
Scaling ethics governance as AI grows
Capstone Exercise: Develop an AI Ethics Board roadmap
Case Study: Sustaining ethics governance over time