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 Duration 7 hours

Course Outline

Introduction to AI in Public Services

  • What AI means for service delivery: overview and definitions.
  • Digital transformation trends within the government sector.
  • AI maturity levels across public institutions.

Real-World Use Cases in Public Sector Services

  • Automated form processing and intake workflows.
  • AI applications in healthcare triage, immigration document processing, and tax analysis.
  • Service personalization leveraging data-driven insights.

Language Access and Citizen Engagement

  • AI translation and summarization tools.
  • Chatbots and virtual agents for multilingual communication.
  • Improving accessibility for diverse populations.

AI for Forecasting and Resource Planning

  • Using AI to predict service demand and capacity.
  • Early warning systems for fraud, compliance, or case escalation.
  • Integrating AI into business intelligence workflows.

Ethical and Operational Considerations

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

Strategic Planning for AI-Enhanced Delivery

  • Identifying opportunities for AI within existing service chains.
  • Assessing readiness in terms of data, systems, and workforce.
  • Cross-agency collaboration and scalable pilot projects.

Summary and Next Steps

Requirements

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

Audience

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

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