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Course Outline

Artificial Intelligence Fundamentals

  • Defining AI: Core terminology and underlying technologies
  • Distinguishing between AI, Machine Learning (ML), and automation
  • Current trends in AI adoption within the public sector

Practical AI Applications in Government

  • Enhancing service delivery through chatbots, document automation, and predictive analytics
  • Improving policy and planning via modeling, forecasting, and simulations
  • Examples from public safety, healthcare, and citizen engagement initiatives

Managing Risks, Ethics, and Bias

  • Understanding algorithmic bias and principles of fairness
  • Ethical decision-making frameworks for AI systems
  • Prioritizing transparency, accountability, and model explainability

AI Governance and Regulatory Environment

  • Overview of the EU AI Act, GDPR, and evolving global regulations
  • Examination of national AI strategies and governance structures
  • Considerations for maintaining public trust and managing citizen impact

Procurement and Deployment Strategies

  • Key considerations for leaders before investing in AI solutions
  • Evaluating vendors, pilot programs, and strategic partnerships
  • Fostering inter-agency collaboration and ensuring data infrastructure readiness

Strategic Planning for AI Integration

  • Building internal AI literacy and forming cross-functional teams
  • Aligning AI initiatives with core mission outcomes
  • Developing a roadmap for AI adoption within a specific department or agency

Recap and Future Actions

Requirements

  • Understanding of public sector operations and existing policy frameworks
  • A strong interest in utilizing emerging technologies for the public benefit
  • No prior technical expertise in AI is necessary

Target Audience

  • Senior administrative officials
  • Ministers and high-level government executives
  • Policy advisors and strategists within the public sector
 7 Hours

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