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Course Outline

Introduction to AI in Public Services

  • Defining AI’s role in service delivery: core concepts and definitions
  • Current trends in government digital transformation
  • The level of AI maturity across public institutions

Practical Use Cases in the Public Sector

  • Streamlining form processing and intake workflows through automation
  • Applying AI to healthcare triage, immigration document processing, and tax analysis
  • Enhancing service personalization through data-driven insights

Language Access and Citizen Engagement

  • Leveraging AI translation and summarization tools
  • Utilizing chatbots and virtual agents for multilingual communication
  • Improving service accessibility for diverse populations

AI in Forecasting and Resource Planning

  • Predicting service demand and capacity using AI
  • Implementing early warning systems for fraud, compliance, or case escalation
  • Integrating AI into business intelligence workflows

Ethical and Operational Considerations

  • Addressing bias, fairness, and explainability in automated decisions
  • Managing citizen trust and data privacy
  • Designing service models that incorporate human oversight

Strategic Planning for AI-Enhanced Delivery

  • Identifying AI opportunities within existing service chains
  • Assessing organizational readiness: data, systems, and workforce
  • Fostering cross-agency collaboration and scalable pilot programs

Summary and Next Steps

Requirements

  • Familiarity with public service operations and delivery mechanisms
  • An interest in service innovation, citizen experience, or digital transformation
  • No prior technical expertise in AI is required

Target Audience

  • Public sector professionals in service delivery roles
  • Government departments engaged in digital transformation initiatives
  • Operations and innovation teams managing areas such as tax, health, or immigration
 7 Hours

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