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 Duration 7 hours

Course Outline

Introduction to AI in Public Services

  • Defining AI’s impact on service delivery: key concepts and overview.
  • Current trends in digital transformation within the government sector.
  • Evaluating AI maturity levels across public institutions.

Practical Use Cases in the Public Sector

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

Language Access and Citizen Interaction

  • Utilizing AI tools for translation and content summarization.
  • Implementing chatbots and virtual agents for multilingual communication.
  • Enhancing accessibility for diverse communities.

AI in Forecasting and Resource Management

  • Leveraging AI to predict service demand and capacity requirements.
  • Establishing early warning systems for fraud, compliance, or case escalation.
  • Embedding AI into business intelligence workflows.

Ethical and Operational Implications

  • Addressing bias, fairness, and explainability in automated decision-making.
  • Maintaining citizen trust and safeguarding privacy.
  • Developing human-in-the-loop service models.

Strategic Planning for AI-Enhanced Services

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

Conclusions and Future Actions

Requirements

  • A solid understanding of public service operations and delivery mechanisms.
  • A keen interest in service innovation, 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 engaged in digital transformation initiatives.
  • Operations and innovation teams working in areas such as tax, health, or immigration.

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