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 Duration 7 hours

Course Outline

Introduction to AI in Public Services

  • Defining AI in the context of service delivery: an overview.
  • Current digital transformation trends in government.
  • Assessing AI maturity levels across public institutions.

Real-World Use Cases in Public Sector Services

  • Automating form processing and intake workflows.
  • Applying AI to healthcare triage, immigration document processing, and tax analysis.
  • Personalizing services through data-driven insights.

Language Access and Citizen Engagement

  • Utilizing AI for translation and summarization.
  • Deploying chatbots and virtual agents for multilingual communication.
  • Enhancing accessibility for diverse populations.

AI for Forecasting and Resource Planning

  • Leveraging AI to predict service demand and capacity.
  • Implementing early warning systems for fraud, compliance, or case escalation.
  • Integrating AI into existing business intelligence workflows.

Ethical and Operational Considerations

  • Addressing bias, fairness, and explainability in automated decisions.
  • Managing citizen trust and privacy concerns.
  • Designing human-in-the-loop service models.

Strategic Planning for AI-Enhanced Delivery

  • Identifying AI opportunities within existing service chains.
  • Assessing organizational readiness across data, systems, and workforce.
  • Fostering cross-agency collaboration and implementing scalable pilots.

Summary and Next Steps

Requirements

  • A basic familiarity with public service operations and delivery mechanisms.
  • A keen interest in service innovation, the citizen experience, or digital transformation.
  • No prior technical expertise in AI is necessary.

Audience

  • Public sector professionals currently in service delivery roles.
  • Government departments actively engaged in digital transformation initiatives.
  • Operations and innovation teams working in areas such as tax, health, or immigration.

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