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 Duration 7 hours

Course Outline

Introduction to AI in Public Services

  • Defining AI in service delivery: an overview of key concepts.
  • Emerging digital transformation trends within the government sector.
  • The current state of AI maturity across public institutions.

Real-World Applications in Public Sector Services

  • Streamlining automated form processing and intake workflows.
  • Leveraging AI for healthcare triage, immigration document processing, and tax analysis.
  • Enhancing service personalization through data-driven insights.

Language Access and Citizen Engagement

  • Utilizing AI-powered translation and summarization tools.
  • Implementing chatbots and virtual agents for multilingual communication.
  • Boosting accessibility for diverse populations.

AI for Forecasting and Resource Planning

  • Predicting service demand and capacity using AI.
  • Establishing early warning systems for fraud, compliance, or case escalation.
  • Integrating AI into 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 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

Target 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

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