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 Duration 7 hours

Course Outline

Foundations of Artificial Intelligence

  • Defining AI: Key terms and underlying technologies
  • Distinguishing between AI, machine learning, and automation
  • Current trends in AI adoption within the public sector

AI Applications in Government

  • Enhancing service delivery via chatbots, document automation, and predictive analytics
  • Improving policy and planning through modelling, forecasting, and simulations
  • Examples from public safety, healthcare, and citizen engagement

Managing Risks, Ethics, and Bias in AI

  • Understanding algorithmic bias and the principles of fairness
  • Ethical decision-making frameworks for AI systems
  • Ensuring transparency, accountability, and explainability

AI Governance and Regulatory Context

  • Overview of the EU AI Act, GDPR, and global regulatory trends
  • National AI strategies and governance structures
  • Considerations regarding public trust and citizen impact

Procurement and Implementation Approaches

  • Key considerations for leaders before investing in AI solutions
  • Assessing vendors, piloting initiatives, and forming partnerships
  • Fostering inter-agency collaboration and preparing data infrastructure

Strategic Planning for AI Adoption

  • Building internal AI literacy and cross-functional teams
  • Aligning AI initiatives with core mission outcomes
  • Developing a roadmap for AI adoption within departments or agencies

Conclusion and Future Actions

Requirements

  • Basic knowledge of public sector operations and policy frameworks
  • A keen interest in applying emerging technologies for public benefit
  • No prior technical experience with AI is necessary

Target Audience

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

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