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Duration 7 hours
Course Outline
Introduction to Artificial Intelligence
- Defining AI: Key terminology and core technologies
- Distinguishing between AI, Machine Learning (ML), and automation
- Current trends in AI adoption across the public sector
AI Applications in Government
- Service delivery enhancements: chatbots, document automation, and predictive analytics
- Policy and planning tools: modeling, forecasting, and simulations
- Practical examples in public safety, healthcare, and citizen engagement
AI Risks, Ethics, and Bias
- Understanding algorithmic bias and ensuring fairness
- Ethical decision-making within AI systems
- Prioritizing transparency, accountability, and explainability
AI Governance and Regulatory Environment
- The EU AI Act, GDPR, and evolving global regulatory standards
- National AI strategies and governance frameworks
- Considerations for maintaining public trust and citizen impact
Procurement and Implementation Approaches
- Essential knowledge for leaders before investing in AI
- Evaluating vendors, pilots, and strategic partnerships
- Inter-agency collaboration and preparing data infrastructure
Strategic Planning for AI Integration
- Cultivating internal AI literacy and cross-functional teams
- Aligning AI initiatives with organizational mission outcomes
- Developing a roadmap for AI adoption within specific departments or agencies
Summary and Forward-Looking Actions
Requirements
- Familiarity with public sector operational structures and policy frameworks
- A genuine interest in leveraging emerging technologies for the public good
- No prior technical knowledge of AI is necessary
Target Audience
- Senior administrative officials
- 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.