Artificial intelligence is rapidly becoming a strategic enabler across government and public sector organisations, supporting improvements in service delivery, policy development, operational efficiency, and citizen engagement. As AI adoption accelerates, public sector leaders face increasing responsibility for ensuring that these technologies are implemented transparently, ethically, and in ways that maintain public confidence. Questions surrounding accountability, fairness, privacy, cybersecurity, and regulatory compliance are now central to effective AI governance.
This training course examines how government organisations can establish robust governance frameworks that balance innovation with oversight and public accountability. Through practical governance models, international best practices, and real-world public sector applications, participants will strengthen their ability to oversee AI initiatives, manage emerging risks, support responsible innovation, and build sustainable governance capabilities that deliver long-term public value.
Key focus areas include:
At the end of this training course, participants will be able to:
This training course adopts a practical and policy-focused learning approach that combines expert-led instruction, public sector case studies, governance frameworks, facilitated discussions, and applied exercises. Participants examine real-world AI governance challenges, regulatory developments, and implementation scenarios to strengthen leadership capability, strategic oversight, and responsible decision-making.
This training course is designed for:
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