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 Duration 7 hours

Course Outline

Fundamentals of Artificial Intelligence

  • Defining AI: Core terminology and underlying technologies
  • Distinguishing between AI, Machine Learning (ML), and automation
  • Current trends in AI adoption across the public sector

Practical AI Applications in Government

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

Addressing Risks, Ethics, and Bias in AI

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

AI Governance and the Regulatory Environment

  • Overview of the EU AI Act, GDPR, and other global regulatory shifts
  • Examination of national AI strategies and governance structures
  • Considering the impact on public trust and citizen welfare

Strategies for Procurement and Implementation

  • Key considerations for leaders before investing in AI solutions
  • Assessing vendors, pilot projects, and strategic partnerships
  • Fostering inter-agency cooperation and ensuring data infrastructure readiness

Strategic Planning for AI Integration

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

Key Takeaways and Future Actions

Requirements

  • A general understanding of public sector operations and policy frameworks
  • A genuine interest in utilizing emerging technologies for public benefit
  • No previous technical experience with AI is necessary

Target Participants

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

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