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Duration 7 hours
Course Outline
Fundamentals of Artificial Intelligence
- Defining AI: Essential terminology and technologies
- Distinguishing between AI, machine learning (ML), and automation
- Current trends in AI adoption within the public sector
AI Applications in Government
- Enhancing service delivery: chatbots, document automation, and predictive analytics
- Supporting policy and planning: modeling, forecasting, and simulations
- Practical examples in public safety, healthcare, and citizen engagement
Addressing Risks, Ethics, and Bias in AI
- Recognizing algorithmic bias and ensuring fairness
- Applying ethical decision-making frameworks to AI systems
- Prioritizing transparency, accountability, and model explainability
AI Governance and Regulatory Environment
- Overview of the EU AI Act, GDPR, and international regulatory shifts
- National AI strategies and governance models
- Considerations for maintaining public trust and measuring citizen impact
Procurement and Implementation Approaches
- Key knowledge for leaders prior to AI investment
- Assessing vendors, pilot programs, and strategic partnerships
- Fostering inter-agency cooperation and preparing data infrastructure
Strategic Planning for AI Integration
- Cultivating internal AI literacy and building cross-functional teams
- Aligning AI initiatives with organizational mission outcomes
- Developing adoption roadmaps for specific departments or agencies
Recap and Actionable Next Steps
Requirements
- Understanding of public sector operations and policy structures
- Desire to utilize emerging technologies for the benefit of the public
- No previous technical knowledge of AI is necessary
Target Audience
- High-level administrators
- Ministers and senior government officials
- Policy consultants 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.
