AI Governance Foundations
Purpose, scope, governance principles, roles and accountability for organizational AI
AI GOVERNANCE PROGRAM
Build practical understanding of how organizations can govern AI responsibly through risk awareness, accountability, controls and human oversight
CURRICULUM
Purpose, scope, governance principles, roles and accountability for organizational AI
Fairness, transparency, explainability, privacy, security and human-centred use
Model, data, operational, legal, reputational and third-party AI risks
Approval boundaries, review controls, monitoring, escalation and human accountability
Governance structures, policy considerations, inventories and ownership
Governance considerations from use-case selection through deployment and monitoring
Why legal, regulatory and industry obligations must be assessed for AI use
Evaluate practical AI-use scenarios and identify risks, controls and ownership
LEARNING OUTCOMES
Explain the purpose of AI governance and responsible AI
Identify common AI risks and affected stakeholders
Recognise where human oversight and controls are required
Understand governance roles, policies and lifecycle checkpoints
Evaluate AI-use scenarios from a risk and accountability perspective
Support more responsible AI adoption within business environments
WHO SHOULD ATTEND
No coding background is required
Instructor-led explanation, scenarios, demonstrations and guided exercises focused on professional application

PROGRAM LEAD
Senior program management professional and PMP® certified professional with 20+ years of technology-industry experience across program delivery, governance, stakeholder management and transformation initiatives
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We will share batch information when schedules are announced