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Duration 7 hours
Course Outline
Foundations of Artificial Intelligence
- Defining AI: essential terminology and underlying technologies
- Distinguishing between AI, Machine Learning (ML), and automation
- Current trends in AI adoption across the public sector
AI Applications in Government
- Enhancing service delivery through chatbots, document automation, and predictive analytics
- Supporting policy and planning with modeling, forecasting, and simulations
- Case examples from public safety, healthcare, and citizen engagement
AI Risks, Ethics, and Bias
- Recognizing algorithmic bias and ensuring fairness
- Applying ethical decision-making principles to AI systems
- Ensuring transparency, accountability, and model explainability
AI Governance and Regulatory Framework
- Overview of the EU AI Act, GDPR, and global regulatory shifts
- Examination of national AI strategies and governance models
- Considerations for maintaining public trust and managing citizen impact
Procurement and Implementation Approaches
- Key factors leaders should consider before investing in AI
- Evaluating vendors, pilot programs, and strategic partnerships
- Preparing for inter-agency collaboration and data infrastructure readiness
Strategic Planning for AI Integration
- Building internal AI competency and cross-functional teams
- Aligning AI initiatives with core mission objectives
- Developing a roadmap for AI adoption within a specific department or agency
Conclusions and Recommended Next Steps
Requirements
- Familiarity with public sector workflows and policy structures
- A keen interest in applying emerging technologies for societal benefit
- No prior technical knowledge of AI is necessary
Target Audience
- Senior public administrators
- Ministers and high-level government executives
- Policy advisors and public sector strategists
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.
