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Duration 7 hours
Course Outline
Introduction to Artificial Intelligence
- Defining AI: Essential terms and technologies
- Distinguishing between AI, ML, and automation
- Emerging trends in public sector AI implementation
AI Applications in Government
- Enhancing service delivery through chatbots, document automation, and predictive analytics
- Supporting policy and planning via modeling, forecasting, and simulations
- Real-world examples in public safety, healthcare, and citizen engagement
Risks, Ethics, and Bias in AI
- Understanding algorithmic bias and ensuring fairness
- Making ethical decisions within AI systems
- Prioritizing transparency, accountability, and explainability
AI Governance and Regulatory Environment
- Navigating the EU AI Act, GDPR, and global regulatory shifts
- Reviewing national AI strategies and governance structures
- Considering public trust and the impact on citizens
Procurement and Implementation Strategies
- Key considerations for leaders before investing in AI
- Assessing vendors, pilot programs, and strategic partnerships
- Fostering inter-agency collaboration and preparing data infrastructure
Strategic Planning for AI Adoption
- Cultivating internal AI literacy and building cross-functional teams
- Aligning AI initiatives with core mission outcomes
- Developing a roadmap for AI adoption within specific departments or agencies
Summary and Future Steps
Requirements
- Basic understanding of public sector operations and policy frameworks
- A genuine interest in harnessing emerging technologies for societal benefit
- No prior technical knowledge of 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.