Introduction to AI for Public Sector Leaders

• Familiarity with public sector operations and policy frameworks
• Interest in leveraging emerging technologies for public good
• No prior technical background in AI required

Audience

• Senior administrators
• Ministers and government executives
• Policy advisors and public sector strategists

Artificial Intelligence (AI) is transforming public sector operations, decision-making, and service delivery worldwide.

This instructor-led, live training (online or onsite) is aimed at public sector leaders with little to no prior background in AI who wish to understand the fundamentals of AI, assess its strategic relevance, and explore how it can be ethically and effectively adopted within government organizations.

By the end of this training, participants will be able to:

• Understand the key concepts and terminology in artificial intelligence.
• Evaluate AI’s opportunities and risks within public sector contexts.
• Explore the ethical and regulatory considerations relevant to AI use in government.
• Develop informed perspectives for AI-related policy, procurement, and strategy.

Format of the Course

• Interactive lecture and discussion.
• Real-world public sector case studies.
• Guided group reflection and policy exercises.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to Artificial Intelligence

• What is AI? Key terms and technologies
• Difference between AI, ML, and automation
• Trends in public sector AI adoption

AI Use Cases in Government

• Service delivery: chatbots, document automation, predictive analytics
• Policy and planning: modeling, forecasting, simulations
• Public safety, healthcare, and citizen engagement examples

Risks, Ethics, and Bias in AI

• Understanding algorithmic bias and fairness
• Ethical decision-making in AI systems
• Transparency, accountability, and explainability

AI Governance and Regulatory Landscape

• EU AI Act, GDPR, and global regulatory developments
• National AI strategies and governance frameworks
• Public trust and citizen impact considerations

Procurement and Implementation Strategies

• What leaders need to know before investing in AI
• Evaluating vendors, pilots, and partnerships
• Inter-agency collaboration and data infrastructure readiness

Strategic Planning for AI Adoption

• Building internal AI literacy and cross-functional teams
• Aligning AI initiatives with mission outcomes
• Roadmapping AI adoption within a department or agency

Summary and Next Steps