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 Duration 7 hours

Course Outline

Introduction to AI in Public Services

  • Defining AI in the context of service delivery: overview and key concepts.
  • Current trends in government digital transformation.
  • The state of AI maturity across public institutions.

Practical Applications in the Public Sector

  • Streamlining form processing and intake workflows through automation.
  • Leveraging AI for healthcare triage, immigration document handling, and tax analysis.
  • Personalizing services through data-driven insights.

Language Access & Citizen Engagement

  • Utilizing AI translation and summarization capabilities.
  • Deploying chatbots and virtual agents for multilingual communication.
  • Enhancing accessibility for diverse citizen groups.

AI for Forecasting & Resource Planning

  • Predicting service demand and capacity using AI models.
  • Implementing early warning systems for fraud, compliance, and case escalation.
  • Integrating AI into existing business intelligence workflows.

Ethical & Operational Considerations

  • Addressing bias, fairness, and explainability in automated decisions.
  • Maintaining citizen trust and data privacy.
  • Designing effective human-in-the-loop service models.

Strategic Planning for AI-Enhanced Delivery

  • Identifying AI integration opportunities within current service chains.
  • Assessing organizational readiness: data, systems, and workforce.
  • Fostering cross-agency collaboration and scalable pilot programs.

Conclusion & Actionable Next Steps

Requirements

  • A solid understanding of public service operations and delivery models.
  • A keen interest in service innovation, citizen experience, or digital transformation.
  • No prior technical background in AI is necessary.

Target Audience

  • Public sector professionals engaged in service delivery.
  • Government units actively involved in digital transformation initiatives.
  • Operations and innovation teams within sectors like tax, health, or immigration.

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