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Course Outline

Introduction to Artificial Intelligence

  • Defining AI: Key terms and underlying technologies
  • Distinguishing between AI, machine learning, and automation
  • Current trends in public sector AI integration

Government Applications of AI

  • Enhancing service delivery through chatbots, document automation, and predictive analytics
  • Supporting policy and planning with modeling, forecasting, and simulations
  • Illustrations from public safety, healthcare, and citizen engagement sectors

AI Risks, Ethics, and Bias

  • Understanding fairness and algorithmic bias
  • Ethical decision-making frameworks for AI systems
  • Ensuring 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 governance structures
  • Addressing public trust and citizen impact

Procurement and Implementation Approaches

  • Essential insights for leaders before committing to AI investments
  • Assessing vendors, pilot programs, and partnerships
  • Fostering inter-agency collaboration and preparing data infrastructure

Strategic Planning for AI Integration

  • Cultivating internal AI literacy and forming cross-functional teams
  • Aligning AI projects with organizational mission outcomes
  • Creating an AI adoption roadmap for specific departments or agencies

Summary and Next Steps

Requirements

  • Knowledge of public sector operations and policy structures
  • A desire to utilize emerging technologies for societal benefit
  • No prior technical expertise in AI is necessary

Target Audience

  • Senior administrators
  • Government ministers and executives
  • Policy advisors and public sector strategists
 7 Hours

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