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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

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Provisional Upcoming Courses (Require 5+ participants)

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