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Duration 7 hours
Course Outline
Foundations of Artificial Intelligence
- Defining AI: Key terms and underlying technologies
- Distinguishing between AI, machine learning, and automation
- Current trends in AI adoption within the public sector
AI Applications in Government
- Enhancing service delivery via chatbots, document automation, and predictive analytics
- Improving policy and planning through modelling, forecasting, and simulations
- Examples from public safety, healthcare, and citizen engagement
Managing Risks, Ethics, and Bias in AI
- Understanding algorithmic bias and the principles of fairness
- Ethical decision-making frameworks for AI systems
- Ensuring transparency, accountability, and explainability
AI Governance and Regulatory Context
- Overview of the EU AI Act, GDPR, and global regulatory trends
- National AI strategies and governance structures
- Considerations regarding public trust and citizen impact
Procurement and Implementation Approaches
- Key considerations for leaders before investing in AI solutions
- Assessing vendors, piloting initiatives, and forming partnerships
- Fostering inter-agency collaboration and preparing data infrastructure
Strategic Planning for AI Adoption
- Building internal AI literacy and cross-functional teams
- Aligning AI initiatives with core mission outcomes
- Developing a roadmap for AI adoption within departments or agencies
Conclusion and Future Actions
Requirements
- Basic knowledge of public sector operations and policy frameworks
- A keen interest in applying emerging technologies for public benefit
- No prior 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.