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Duration 7 hours
Course Outline
Fundamentals of Artificial Intelligence
- Defining AI: Essential terminology and underlying technologies
- Distinguishing between AI, machine learning (ML), and automation
- Current trends in AI adoption within the public sector
Applications of AI in Government
- Enhancing service delivery through chatbots, document automation, and predictive analytics
- Improving policy and planning via modeling, forecasting, and simulations
- Case examples in public safety, healthcare, and citizen engagement
Addressing Risks, Ethics, and Bias
- Understanding algorithmic bias and the principles of fairness
- Making ethical decisions within AI systems
- Ensuring transparency, accountability, and explainability
AI Governance and Regulatory Environment
- Overview of the EU AI Act, GDPR, and global regulatory shifts
- National AI strategies and governance frameworks
- Considerations regarding public trust and impact on citizens
Procurement and Implementation Approaches
- Key considerations for leaders before investing in AI
- Assessing vendors, pilots, and strategic partnerships
- Promoting inter-agency collaboration and data infrastructure readiness
Strategic Planning for AI Integration
- Building internal AI literacy and cross-functional teams
- Aligning AI initiatives with organizational mission and outcomes
- Creating a roadmap for AI adoption within departments or agencies
Recap and Future Actions
Requirements
- Basic knowledge of public sector operations and policy frameworks
- A keen interest in utilizing emerging technologies for the public good
- No prior technical experience in AI is necessary
Target Audience
- Senior administrative officials
- Ministers and high-level 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.