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Duration 7 hours
Course Outline
Introduction to Artificial Intelligence
- Defining AI: Key terms and underlying technologies
- Distinguishing between AI, ML, and automation
- Current trends in public sector AI adoption
AI Use Cases in Government
- Enhancing service delivery through chatbots, document automation, and predictive analytics
- Applying modeling, forecasting, and simulations to policy and planning
- Examples in public safety, healthcare, and citizen engagement
Risks, Ethics, and Bias in AI
- Understanding algorithmic bias and ensuring fairness
- Ethical decision-making within AI systems
- Prioritizing transparency, accountability, and explainability
AI Governance and Regulatory Landscape
- Reviewing the EU AI Act, GDPR, and other global regulatory developments
- Examining national AI strategies and governance frameworks
- Considering public trust and the impact on citizens
Procurement and Implementation Strategies
- Essential knowledge for leaders before investing in AI
- Evaluating vendors, pilots, and partnerships
- Fostering inter-agency collaboration and preparing data infrastructure
Strategic Planning for AI Adoption
- Building internal AI literacy and cross-functional teams
- Aligning AI initiatives with broader mission outcomes
- Roadmapping AI adoption for departments or agencies
Summary and Next Steps
Requirements
- Familiarity with public sector operations and policy frameworks
- A keen interest in leveraging emerging technologies for the public good
- No prior technical background in 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.
