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Duration 7 hours
Course Outline
Introduction to Artificial Intelligence
- Defining AI: Essential terms and technologies
- Distinguishing between AI, machine learning, 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
- Examples in public safety, healthcare, and citizen engagement
Risks, Ethics, and Bias in AI
- Understanding algorithmic bias and fairness
- Ethical decision-making frameworks for AI systems
- Principles of transparency, accountability, and explainability
AI Governance and Regulatory Environment
- Overview of the EU AI Act, GDPR, and global regulatory changes
- National AI strategies and governance frameworks
- Considerations for public trust and citizen impact
Procurement and Implementation Strategies
- Key considerations for leaders before investing in AI
- Evaluating vendors, pilot programs, and partnerships
- Inter-agency collaboration and data infrastructure readiness
Strategic Planning for AI Adoption
- Cultivating internal AI literacy and cross-functional teams
- Aligning AI initiatives with organizational mission outcomes
- Creating a roadmap for AI adoption within specific departments or agencies
Summary and Next Steps
Requirements
- Basic understanding of public sector operations and policy frameworks
- Interest in utilizing emerging technologies for the public benefit
- No prior technical knowledge of AI is required
Target Audience
- Senior administrators
- Ministers and 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.