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 Duration 7 hours

Course Outline

Introduction to AI in Public Services

  • Implications of AI for service delivery: overview and key definitions
  • Trends in digital transformation within the government sector

Practical Use Cases in Public Sector Services

  • Automated processing of forms and intake workflows
  • Application of AI in healthcare triage, immigration document verification, and tax analysis
  • Personalizing services through data-driven insights

Language Access and Citizen Engagement

  • AI-based translation and summarization tools
  • Chatbots and virtual agents for multilingual interactions
  • Enhancing accessibility for diverse citizen populations

AI for Forecasting and Resource Planning

  • Utilizing AI to anticipate service demand and capacity requirements
  • Early warning systems for fraud detection, compliance issues, or case escalation
  • Integrating AI into business intelligence workflows

Ethical and Operational Considerations

  • Addressing bias, fairness, and explainability in automated decision-making
  • Designing human-in-the-loop service models

Strategic Planning for AI-Enhanced Delivery

  • Identifying AI opportunities within existing service chains
  • Assessing readiness across data infrastructure, systems, and workforce
  • Facilitating cross-agency collaboration and scalable pilot programs

Summary and Next Steps

Requirements

  • Basic knowledge of public service operations and delivery processes
  • An 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 engaged in digital transformation initiatives
  • Operations and innovation teams within tax, health, or immigration sectors

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