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Duration 7 hours
Course Outline
Introduction to Artificial Intelligence
- Defining AI: essential terms and technologies
- Distinguishing between AI, ML, and automation
- Current trends in public sector AI adoption
AI Applications in Government
- Service delivery through chatbots, document automation, and predictive analytics
- Policy and planning via modeling, forecasting, and simulations
- Examples in public safety, healthcare, and citizen engagement
AI Risks, Ethics, and Bias
- Grasping algorithmic bias and fairness
- Ethical decision-making within AI systems
- Ensuring transparency, accountability, and explainability
AI Governance and Regulatory Environment
- The EU AI Act, GDPR, and global regulatory trends
- National AI strategies and governance structures
- Considerations for public trust and citizen impact
Procurement and Implementation Tactics
- Key factors leaders should consider before investing in AI
- Assessing vendors, pilots, and collaborative partnerships
- Cross-agency cooperation and data infrastructure preparation
Strategic Planning for AI Adoption
- Cultivating internal AI literacy and cross-functional teams
- Aligning AI initiatives with organizational mission outcomes
- Mapping out AI adoption for specific departments or agencies
Recap and Future Directions
Requirements
- Working knowledge of public sector operations and policy structures
- A keen interest in harnessing emerging technologies for societal benefit
- No previous technical experience with AI is necessary
Target Audience
- High-level administrators
- Ministers and senior government executives
- Policy consultants 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.
