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Course Outline
Introduction to AI in Public Services
- The meaning of AI for service delivery: overview and key definitions.
- Digital transformation trends within government sectors.
- AI maturity levels across public institutions.
Real-World Use Cases in Public Sector Services
- Automating form processing and intake workflows.
- Application of AI in healthcare triage, immigration document processing, and tax analysis.
- Personalising services using data-driven insights.
Language Access and Citizen Engagement
- AI-powered translation and summarization tools.
- Chatbots and virtual agents for multilingual communication.
- Enhancing accessibility for diverse populations.
AI for Forecasting and Resource Planning
- Leveraging AI to predict service demand and capacity.
- Early warning systems for fraud, compliance, or case escalation.
- Integrating AI into business intelligence workflows.
Ethical and Operational Considerations
- Bias, fairness, and explainability in automated decision-making.
- Managing citizen trust and privacy.
- Designing human-in-the-loop service models.
Strategic Planning for AI-Enhanced Delivery
- Identifying AI opportunities within existing service chains.
- Assessing readiness across data, systems, and workforce.
- Cross-agency collaboration and scalable pilot programs.
Summary and Next Steps
Requirements
- Basic 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.
Audience
- Public sector professionals in service delivery roles.
- Government departments engaged in digital transformation initiatives.
- Operations and innovation teams in sectors such as tax, health, or immigration.
7 Hours
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.
