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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 (ML), and automation
  • Current trends in AI adoption across the public sector

AI Applications in Government

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

Navigating Risks, Ethics, and Bias in AI

  • Understanding algorithmic bias and ensuring fairness
  • Ethical decision-making processes within AI systems
  • Prioritizing transparency, accountability, and explainability

AI Governance and the Regulatory Environment

  • Overview of the EU AI Act, GDPR, and other global regulatory shifts
  • National AI strategies and established governance frameworks
  • Considerations for maintaining public trust and assessing citizen impact

Strategies for Procurement and Implementation

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

Strategic Planning for AI Integration

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

Key Takeaways and Future Directions

Requirements

  • Working knowledge of public sector operations and policy structures
  • A desire to utilize emerging technologies for the greater public good
  • No prior technical expertise in AI is necessary

Target Audience

  • Senior administrative officials
  • Ministers and high-level government executives
  • Policy advisers and strategists in the public domain

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