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Course Outline
Introduction to Artificial Intelligence
- What is AI? Key terms and technologies
- Difference between AI, ML, and automation
- Trends in public sector AI adoption
AI Use Cases in Government
- Service delivery: chatbots, document automation, predictive analytics
- Policy and planning: modeling, forecasting, simulations
- Public safety, healthcare, and citizen engagement examples
Risks, Ethics, and Bias in AI
- Understanding algorithmic bias and fairness
- Ethical decision-making in AI systems
- Transparency, accountability, and explainability
AI Governance and Regulatory Landscape
- EU AI Act, GDPR, and global regulatory developments
- National AI strategies and governance frameworks
- Public trust and citizen impact considerations
Procurement and Implementation Strategies
- What leaders need to know before investing in AI
- Evaluating vendors, pilots, and partnerships
- Inter-agency collaboration and data infrastructure readiness
Strategic Planning for AI Adoption
- Building internal AI literacy and cross-functional teams
- Aligning AI initiatives with mission outcomes
- Roadmapping AI adoption within a department or agency
Summary and Next Steps
Requirements
- Familiarity with public sector operations and policy frameworks
- Interest in leveraging emerging technologies for public good
- No prior technical background in AI required
Audience
- Senior administrators
- Ministers and government executives
- Policy advisors and public sector strategists
7 Hours
