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Course Outline

Introduction to Artificial Intelligence

  • What is AI? Key terms and technologies.
  • Differences between AI, machine learning (ML), and automation.
  • Trends in AI adoption within the public sector.

AI Use Cases in Government

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

Risks, Ethics, and Bias in AI

  • Understanding algorithmic bias and fairness.
  • Ethical decision-making in AI systems.
  • Transparency, accountability, and explainability.

AI Governance and Regulatory Landscape

  • The EU AI Act, GDPR, and global regulatory developments.
  • National AI strategies and governance frameworks.
  • Considerations regarding public trust and citizen impact.

Procurement and Implementation Strategies

  • What leaders need to know before investing in AI.
  • Evaluating vendors, pilot projects, and partnerships.
  • Inter-agency collaboration and data infrastructure readiness.

Strategic Planning for AI Adoption

  • Building internal AI literacy and forming cross-functional teams.
  • Aligning AI initiatives with mission outcomes.
  • Roadmapping AI adoption within a department or agency.

Summary and Next Steps

Requirements

  • Familiarity with public sector operations and policy frameworks.
  • Interest in leveraging emerging technologies for the public good.
  • No prior technical background in AI required.

Audience

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

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