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 Duration 7 hours

Course Outline

Introduction to Artificial Intelligence

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

AI Applications in Government

  • Service delivery enhancements: chatbots, document automation, and predictive analytics
  • Policy and planning tools: modeling, forecasting, and simulations
  • Practical examples in public safety, healthcare, and citizen engagement

AI Risks, Ethics, and Bias

  • Understanding algorithmic bias and ensuring fairness
  • Ethical decision-making within AI systems
  • Prioritizing transparency, accountability, and explainability

AI Governance and Regulatory Environment

  • The EU AI Act, GDPR, and evolving global regulatory standards
  • National AI strategies and governance frameworks
  • Considerations for maintaining public trust and citizen impact

Procurement and Implementation Approaches

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

Strategic Planning for AI Integration

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

Summary and Forward-Looking Actions

Requirements

  • Familiarity with public sector operational structures and policy frameworks
  • A genuine interest in leveraging emerging technologies for the public good
  • No prior technical knowledge of AI is necessary

Target Audience

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

Testimonials (1)

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