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 Duration 7 hours

Course Outline

Introduction to AI in Public Services

  • Defining AI in the context of service delivery: key concepts and definitions
  • Current digital transformation trends within government
  • The current state of AI maturity across public institutions

Real-World Use Cases in Public Sector Services

  • Streamlining automated form processing and intake workflows
  • Leveraging AI for healthcare triage, immigration document processing, and tax analysis
  • Personalising services through data-driven insights

Language Access and Citizen Engagement

  • Utilising AI for translation and summarisation
  • Deploying chatbots and virtual agents for multilingual communication
  • Enhancing accessibility for diverse populations

AI for Forecasting and Resource Planning

  • Predicting service demand and capacity using AI models
  • Implementing early warning systems for fraud, compliance, or case escalation
  • Integrating AI capabilities 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 organisational readiness: data, systems, and workforce
  • Fostering cross-agency collaboration and scalable pilots

Summary and Next Steps

Requirements

  • A working knowledge of public service operations and delivery mechanisms
  • A genuine interest in service innovation, citizen experience, or digital transformation
  • No prior technical expertise in AI is necessary

Target Audience

  • Public sector professionals in service delivery roles
  • Government departments focusing on digital transformation
  • Operations and innovation teams working in areas such as tax, health, or immigration

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