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 Duration 7 hours

Course Outline

Artificial Intelligence Basics

  • Defining AI: Essential terms and core technologies
  • Distinguishing between AI, Machine Learning, and automation
  • Current trends in AI adoption across the public sector

AI Applications in Government

  • Enhancing service delivery via chatbots, document automation, and predictive analytics
  • Supporting policy and planning through modeling, forecasting, and simulations
  • Illustrative examples in public safety, healthcare, and citizen engagement

AI Risks, Ethics, and Bias

  • Recognizing algorithmic bias and ensuring fairness
  • Making ethical decisions regarding AI systems
  • Prioritizing transparency, accountability, and explainability

AI Governance and Regulatory Environment

  • Reviewing the EU AI Act, GDPR, and international regulatory shifts
  • Examining national AI strategies and governance models
  • Considering public trust and the impact on citizens

Procurement and Deployment Approaches

  • Key considerations for leaders prior to AI investment
  • Assessing vendors, pilot programs, and strategic partnerships
  • Fostering inter-agency collaboration and preparing data infrastructure

Strategic Planning for AI Implementation

  • Cultivating internal AI literacy and building cross-functional teams
  • Aligning AI initiatives with organizational mission and outcomes
  • Developing adoption roadmaps for specific departments or agencies

Wrap-up and Recommended Next Steps

Requirements

  • Understanding of public sector operations and policy structures
  • Desire to apply emerging technologies for the public benefit
  • No prior technical knowledge of AI is necessary

Target Audience

  • Senior management officials
  • Ministers and government executives
  • Policy advisors and strategists within the public sector

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