Artificial Intelligence Governance and Organisational Accountability

Course objectives

• Map the organisational AI use case inventory and associated risk tiers
• Apply an AI governance framework covering accountability, transparency and fairness
• Design testing and monitoring protocols for algorithmic bias and drift
• Assess vendor and third party AI tools against a due diligence checklist
• Build an AI governance committee structure with clear escalation paths

Who should attend

• Chief risk and chief data officers
• Compliance and legal counsel handling emerging technology
• IT and data science leaders
• Internal auditors reviewing algorithmic systems
• Board members with technology or risk committee mandates

Course outline

1. 01The African regulatory and ethical landscape for AI
2. 02Building an AI use case inventory and risk classification
3. 03Accountability, transparency and explainability in practice
4. 04Bias testing, model monitoring and drift management
5. 05Third party and vendor AI due diligence
6. 06Establishing an AI governance committee and reporting cadence

Scheduled sessions