Course Outline

Introduction to AI in Public Services

  • What AI means for service delivery: overview and definitions
  • Digital transformation trends in government
  • AI maturity across public institutions

Real-World Use Cases in Public Sector Services

  • Automated form processing and intake workflows
  • AI in healthcare triage, immigration document processing, and tax analysis
  • Service personalization using 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: data, systems, and workforce
  • Cross-agency collaboration and scalable pilots

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 required

Audience

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

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