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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 overview.
  • Current trends in government digital transformation.
  • The varying levels of AI maturity across public institutions.

Real-World Applications in Public Sector Services

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

Language Access and Citizen Engagement

  • Utilizing AI tools for translation and summarization.
  • 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 issues, or case escalation.
  • Integrating AI into broader business intelligence workflows.

Ethical and Operational Considerations

  • Addressing bias, fairness, and explainability in automated decision-making.
  • Maintaining citizen trust and protecting privacy.
  • 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 executing scalable pilots.

Summary and Next Steps

Requirements

  • A solid grasp of public service operations and delivery mechanisms.
  • A strong interest in service innovation, the citizen experience, or digital transformation.
  • No prior technical expertise in AI is necessary.

Target Audience

  • Public sector professionals holding service delivery roles.
  • Government departments actively pursuing digital transformation.
  • Operations and innovation teams working in fields such as taxation, health, or immigration.

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