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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

Practical Applications of AI in Government

  • Service enhancement via chatbots, document automation, and predictive analytics
  • Policy development and planning through modeling, forecasting, and simulation
  • Real-world examples in public safety, healthcare, and citizen engagement

Addressing Risks, Ethics, and Bias

  • Identifying algorithmic bias and promoting fairness
  • Ethical frameworks for decision-making in AI systems
  • Ensuring transparency, accountability, and explainability

Governance and the Regulatory Environment

  • Overview of the EU AI Act, GDPR, and international regulatory trends
  • Examination of national AI strategies and governance structures
  • Factors influencing public trust and citizen impact

Procurement and Execution Strategies

  • Key considerations for leaders before committing to AI investments
  • Criteria for evaluating vendors, pilot programs, and strategic partnerships
  • Fostering inter-agency cooperation and ensuring data infrastructure readiness

Strategic Roadmap for AI Integration

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

Recap and Future Actions

Requirements

  • Working knowledge of public sector operations and policy structures
  • A genuine interest in applying emerging technologies for the public benefit
  • No existing technical expertise in AI is necessary

Target Audience

  • Senior administrative officials
  • Ministers and high-ranking government executives
  • Policy consultants and public sector strategy experts
 7 Hours

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