Course outcomes
- Strengthen AI governance
Establish clear governance structures, decision rights, reporting arrangements and accountability for AI. - Promote ethical AI use
Apply fairness, transparency, explainability, privacy, human oversight and stakeholder inclusivity to AI-related decisions. - Manage AI risk
Identify and assess strategic, operational, legal, ethical, data, cybersecurity, third-party and reputational risks. - Establish an AI management system
Understand the policies, processes, responsibilities and evidence required to manage AI consistently. - Improve governing-body oversight
Develop meaningful AI governance reports and dashboards for governing bodies and oversight committees. - Integrate the Three Lines
Clarify the responsibilities of management, risk and compliance functions, internal audit and external assurance providers. - Evaluate AI controls
Assess whether controls over data, models, access, testing, monitoring, change management and human intervention are appropriately designed and operating effectively. - Develop an implementation roadmap
Prioritise the practical actions required to strengthen AI governance and ethics within the participant’s organisation.
Presenters – Dr Dirk Brand and Deon van der Westhuizen
Deon specialises in governance, risk management, internal audit, organizational leadership and AI governance. His programs focus on translating governance frameworks into practical tools that can be applied by governing bodies, executives and assurance professionals.
Duration – Two days.
Participants attending the complete program will receive a certificate of attendance reflecting the applicable continuing professional development hours.
