Why This Course Matters
A governing body is required to apply good governance throughout the life cycle of an artificial intelligence system with clear accountability at each checkpoint.
This course provides a principle-based approach to effectively enable and govern the use of AI by combining theoretical knowledge with practical examples. It ensures AI is used efficiently, effectively, and acceptably within the organisation while addressing ethical considerations, transparency, accountability, and regulatory compliance with King V and POPIA.
Participants will learn to adopt an outcome-driven governance system tailored to their organisation's risk, quality, and compliance management needs.
What You Will Learn
Course Outline
- Governance of AI in accordance with King V and POPIA
- AI governance framework
- Purpose and values
- Accountability for AI systems
- Transparency and explainability
- Responsible stewardship
- Oversight of AI system performance
- AI system value generation
- AI strategy
- AI stakeholder engagement
- Leadership and data decisions
- Governance of AI risk and social responsibility
- Safety, security, and AI viability over time
Who Should Attend
- Governing bodies
- CIOs, Chief Data & Analytics Officers
- Governance practitioners
- Data Protection Officers
- Risk managers and compliance officers
- Legal officers and General Counsel
- IT and system development managers
- Internal auditors
- Information security managers
On Completion You Will Be Able To
- Articulate good governance for artificial intelligence systems
- Describe the outcomes expected from the governance of artificial intelligence systems
- Identify key artificial intelligence system activities
- Define and develop a governance framework for artificial intelligence systems
- Translate legal obligations into operational practices for artificial intelligence systems
- Ensure the design, development and operation of AI systems complies with applicable obligations