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 Duration 7 hours

Course Outline

Fundamentals of Artificial Intelligence

  • Defining AI: Essential terminology and underlying technologies
  • Distinguishing between AI, machine learning (ML), and automation
  • Current trends in AI adoption within the public sector

Applications of AI in Government

  • Enhancing service delivery through chatbots, document automation, and predictive analytics
  • Improving policy and planning via modeling, forecasting, and simulations
  • Case examples in public safety, healthcare, and citizen engagement

Addressing Risks, Ethics, and Bias

  • Understanding algorithmic bias and the principles of fairness
  • Making ethical decisions within AI systems
  • Ensuring transparency, accountability, and explainability

AI Governance and Regulatory Environment

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

Procurement and Implementation Approaches

  • Key considerations for leaders before investing in AI
  • Assessing vendors, pilots, and strategic partnerships
  • Promoting inter-agency collaboration and data infrastructure readiness

Strategic Planning for AI Integration

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

Recap and Future Actions

Requirements

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

Target Audience

  • Senior administrative officials
  • Ministers and high-level government executives
  • Policy advisors and public sector strategists

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