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Duration 7 hours
Course Outline
Artificial Intelligence Basics
- Defining AI: Essential terms and core technologies
- Distinguishing between AI, Machine Learning, and automation
- Current trends in AI adoption across the public sector
AI Applications in Government
- Enhancing service delivery via chatbots, document automation, and predictive analytics
- Supporting policy and planning through modeling, forecasting, and simulations
- Illustrative examples in public safety, healthcare, and citizen engagement
AI Risks, Ethics, and Bias
- Recognizing algorithmic bias and ensuring fairness
- Making ethical decisions regarding AI systems
- Prioritizing transparency, accountability, and explainability
AI Governance and Regulatory Environment
- Reviewing the EU AI Act, GDPR, and international regulatory shifts
- Examining national AI strategies and governance models
- Considering public trust and the impact on citizens
Procurement and Deployment Approaches
- Key considerations for leaders prior to AI investment
- Assessing vendors, pilot programs, and strategic partnerships
- Fostering inter-agency collaboration and preparing data infrastructure
Strategic Planning for AI Implementation
- Cultivating internal AI literacy and building cross-functional teams
- Aligning AI initiatives with organizational mission and outcomes
- Developing adoption roadmaps for specific departments or agencies
Wrap-up and Recommended Next Steps
Requirements
- Understanding of public sector operations and policy structures
- Desire to apply emerging technologies for the public benefit
- No prior technical knowledge of AI is necessary
Target Audience
- Senior management officials
- Ministers and government executives
- Policy advisors and strategists within the public sector
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.