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Duration 7 hours
Course Outline
Foundations of Artificial Intelligence
- Defining AI: essential terms and technologies
- Distinguishing between AI, Machine Learning, and automation
- Current trends in AI adoption within the public sector
AI Applications in Government
- Service delivery through chatbots, document automation, and predictive analytics
- Policy and planning via modeling, forecasting, and simulations
- Examples in public safety, healthcare, and citizen engagement
AI Risks, Ethics, and Bias
- Recognizing algorithmic bias and ensuring fairness
- Ethical decision-making processes within AI systems
- Prioritizing transparency, accountability, and explainability
AI Governance and the Regulatory Environment
- The EU AI Act, GDPR, and other global regulatory trends
- National AI strategies and governance structures
- Considerations for maintaining public trust and citizen impact
Procurement and Implementation Approaches
- Key factors for leaders to consider before investing in AI
- Assessing vendors, pilot programs, and partnerships
- Cross-agency collaboration and readiness of data infrastructure
Strategic Planning for AI Integration
- Developing internal AI literacy and cross-functional teams
- Aligning AI initiatives with organizational mission outcomes
- Creating a roadmap for AI adoption within a department or agency
Recap and Future Actions
Requirements
- Knowledge of public sector operations and existing policy frameworks
- A desire to utilize emerging technologies for the benefit of the public
- No previous technical experience with 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.