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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 Applications in Government

  • Enhancing service delivery: chatbots, document automation, and predictive analytics
  • Policy and planning: modeling, forecasting, and simulations
  • Examples from public safety, healthcare, and citizen engagement

Risks, Ethics, and Bias in AI

  • Understanding algorithmic bias and ensuring fairness
  • Ethical decision-making processes in AI systems
  • Importance of transparency, accountability, and explainability

AI Governance and Regulatory Landscape

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

Procurement and Implementation Strategies

  • Essential knowledge for leaders before investing in AI
  • Evaluating vendors, pilot programs, and partnerships
  • Inter-agency collaboration and preparing data infrastructure

Strategic Planning for AI Adoption

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

Summary and Next Steps

Requirements

  • Basic knowledge of public sector operations and policy frameworks
  • An interest in using emerging technologies for societal benefit
  • No previous technical background in AI is necessary

Target Audience

  • Senior government administrators
  • Ministers and executive officials
  • Policy advisors and public sector strategists
 7 Hours

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