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 Duration 7 hours

Course Outline

Foundations of Artificial Intelligence

  • Defining AI: essential terminology 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 through chatbots, automated document processing, and predictive analytics
  • Supporting policy and planning via modeling, forecasting, and simulations
  • Examples in public safety, healthcare, and citizen interaction

AI Risks, Ethics, and Bias

  • Comprehending algorithmic bias and the principle of fairness
  • Ethical frameworks for decision-making in AI systems
  • Prioritizing transparency, accountability, and explainability

AI Governance and Regulatory Environment

  • Overview of the EU AI Act, GDPR, and other global regulatory updates
  • National AI strategies and established governance models
  • Maintaining public trust and considering citizen impact

Procurement and Implementation Approaches

  • Key considerations for leaders prior to investing in AI solutions
  • Assessing vendors, conducting pilots, and managing partnerships
  • Fostering inter-agency cooperation and ensuring data infrastructure readiness

Strategic Planning for AI Integration

  • Cultivating internal AI literacy and forming cross-functional teams
  • Aligning AI initiatives with organizational mission and outcomes
  • Creating a roadmap for AI adoption within departments or agencies

Recap and Future Actions

Requirements

  • Basic awareness of public sector operations and policy structures
  • A keen interest in utilizing emerging technologies for public benefit
  • No previous technical experience in AI is necessary

Target Audience

  • Senior administrative officials
  • Ministers and high-level government executives
  • Policy consultants and public sector strategists

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