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Duration 7 hours
Course Outline
Introduction to Artificial Intelligence
- Defining AI: Core terms and technologies
- Distinguishing between AI, Machine Learning (ML), and automation
- Current trends in public sector AI adoption
AI Applications in Government
- Enhancing service delivery through chatbots, document automation, and predictive analytics
- Supporting policy and planning via modeling, forecasting, and simulations
- Examples from public safety, healthcare, and citizen engagement initiatives
AI Risks, Ethics, and Bias
- Understanding algorithmic bias and ensuring fairness
- Ethical decision-making frameworks for AI systems
- Prioritizing transparency, accountability, and explainability
AI Governance and Regulatory Environment
- Overview of 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
- Key considerations for leaders before investing in AI
- Evaluating vendors, pilot programs, and strategic partnerships
- Preparing data infrastructure and fostering inter-agency collaboration
Strategic Planning for AI Adoption
- Building internal AI literacy and cross-functional teams
- Aligning AI initiatives with organizational mission outcomes
- Developing a roadmap for AI adoption within departments or agencies
Summary and Next Steps
Requirements
- General familiarity with public sector operations and policy frameworks
- A keen interest in leveraging emerging technologies for public benefit
- 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.
