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Course Outline

Introduction to Artificial Intelligence

  • Defining AI: Key terms and technologies
  • Distinguishing AI, machine learning (ML), and automation
  • Current trends in public sector AI adoption

AI Applications in Government

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

Risks, Ethics, and Bias in AI

  • Understanding algorithmic bias and fairness
  • Ethical decision-making in AI systems
  • Ensuring 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 for public trust and citizen impact

Procurement and Implementation Strategies

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

Strategic Planning for AI Adoption

  • Building internal AI literacy and cross-functional teams
  • Aligning AI initiatives with mission outcomes
  • Roadmapping AI adoption within a department or agency

Summary and Next Steps

Requirements

  • Familiarity with public sector operations and policy frameworks
  • Interest in leveraging emerging technologies for the public good
  • No prior technical background in AI required

Target Audience

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

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