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 Duration 7 hours

Course Outline

Introduction to Artificial Intelligence

  • Defining AI: Key terms and underlying technologies
  • Distinguishing between AI, ML, and automation
  • Current trends in public sector AI adoption

AI Use Cases in Government

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

Risks, Ethics, and Bias in AI

  • Understanding algorithmic bias and the pursuit of fairness
  • Ethical decision-making within AI systems
  • The importance of transparency, accountability, and explainability

AI Governance and Regulatory Landscape

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

Procurement and Implementation Strategies

  • Essential knowledge for leaders prior to investing in AI
  • Evaluating vendors, pilot programs, and partnerships
  • Fostering inter-agency collaboration and ensuring data infrastructure readiness

Strategic Planning for AI Adoption

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

Summary and Next Steps

Requirements

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

Target Audience

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

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