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Duration 7 hours
Course Outline
Introduction to Artificial Intelligence
- Defining AI: Key terms and underlying technologies.
- Distinguishing between AI, machine learning, and automation.
- Current trends in AI adoption across the public sector.
AI Use Cases in Government
- Service delivery enhancements: chatbots, document automation, and predictive analytics.
- Policy and planning tools: modeling, forecasting, and simulations.
- Practical examples in public safety, healthcare, and citizen engagement.
Risks, Ethics, and Bias in AI
- Understanding algorithmic bias and ensuring fairness.
- Ethical decision-making frameworks for AI systems.
- Principles of transparency, accountability, and explainability.
AI Governance and Regulatory Landscape
- The EU AI Act, GDPR, and evolving global regulatory standards.
- National AI strategies and governance frameworks.
- Considerations for maintaining public trust and citizen impact.
Procurement and Implementation Strategies
- Key considerations for leaders before investing in AI.
- Evaluating vendors, pilot programs, and strategic 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 broader mission outcomes.
- Roadmapping AI adoption within a specific department or agency.
Summary and Next Steps
Requirements
- Familiarity with public sector operations and policy frameworks.
- An interest in leveraging emerging technologies for the public good.
- No prior technical background in AI is necessary.
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.
