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Duration 7 hours
Course Outline
Introduction to AI in Public Services
- Defining AI’s role in service delivery: core concepts and overview
- Emerging digital transformation trends in government
- Current AI maturity levels across public institutions
Real-World Use Cases in the Public Sector
- Automating form processing and intake workflows
- Applying AI to healthcare triage, immigration document handling, and tax analysis
- Leveraging data-driven insights for service personalisation
Language Access and Citizen Engagement
- Utilising AI translation and summarisation tools
- Deploying chatbots and virtual agents for multilingual communication
- Enhancing accessibility for diverse communities
AI for Forecasting and Resource Planning
- Predicting service demand and capacity using AI
- Implementing 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
- 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 organisational readiness across data, systems, and workforce
- Fostering cross-agency collaboration and scaling pilots
Summary and Next Steps
Requirements
- A working familiarity with public service operations and delivery mechanisms
- An interest in service innovation, citizen experience, or digital transformation
- No prior technical expertise in AI is required
Target Audience
- Public sector professionals working in service delivery roles
- Government departments engaged in digital transformation initiatives
- Operations and innovation teams in areas such as tax, health, or immigration
Testimonials (1)
I got to learn more about Microsoft Copilot, something that I thought was the same as chatGPT but I got to discover more exciting options that I will forever use to make my life easy.