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Course Outline

Introduction to Artificial Intelligence

  • Defining AI: Key terms and technologies.
  • Distinctions between AI, Machine Learning (ML), and automation.
  • Current trends in AI adoption within the public sector.

AI Use Cases in Government

  • Service delivery: Utilising chatbots, document automation, and predictive analytics.
  • Policy and planning: Employing modelling, forecasting, and simulations.
  • Examples from public safety, healthcare, and citizen engagement.

Risks, Ethics, and Bias in AI

  • Understanding algorithmic bias and the pursuit of fairness.
  • Ethical decision-making processes within AI systems.
  • Ensuring transparency, accountability, and explainability.

AI Governance and Regulatory Landscape

  • Overview of the EU AI Act, GDPR, and global regulatory developments.
  • National AI strategies and governance frameworks.
  • Considerations regarding public trust and impact on citizens.

Procurement and Implementation Strategies

  • Essential knowledge for leaders before investing in AI.
  • Evaluating vendors, pilot projects, and partnerships.
  • Fostering inter-agency collaboration and assessing data infrastructure readiness.

Strategic Planning for AI Adoption

  • Developing internal AI literacy and forming cross-functional teams.
  • Aligning AI initiatives with mission outcomes.
  • Creating roadmaps for AI adoption within departments or agencies.

Summary and Next Steps

Requirements

  • Understanding of public sector operations and policy frameworks.
  • A keen interest in utilising emerging technologies for the public good.
  • No prior technical knowledge of AI is required.

Target Audience

  • Senior administrators.
  • Ministers and government executives.
  • Policy advisors and public sector strategists.
 7 Hours

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