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Course Outline

Introduction to AI in Public Services

  • Understanding AI for service delivery: overview and key definitions.
  • Current digital transformation trends in government.
  • Assessing AI maturity across public institutions.

Real-World Use Cases in Public Sector Services

  • Automating form processing and intake workflows.
  • Applications of AI in 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 accessibility for diverse population groups.

AI for Forecasting and Resource Planning

  • Using AI to predict service demand and capacity needs.
  • 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 human-in-the-loop service models.

Strategic Planning for AI-Enhanced Delivery

  • Identifying opportunities for AI within existing service chains.
  • Assessing organizational readiness regarding data, systems, and workforce.
  • Facilitating cross-agency collaboration and scalable pilot programs.

Summary and Next Steps

Requirements

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

Audience

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

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