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Course Outline

Introduction to Artificial Intelligence

  • Defining AI: Essential terms and technologies
  • Distinctions between AI, machine learning, and automation
  • Current trends in AI adoption within the public sector

AI Applications in Government

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

Risks, Ethics, and Bias in AI

  • Comprehending algorithmic bias and fairness
  • Ethical decision-making in AI systems
  • Ensuring transparency, accountability, and explainability

AI Governance and Regulatory Environment

  • The EU AI Act, GDPR, and other global regulatory updates
  • National AI strategies and governance frameworks
  • Considerations for public trust and citizen impact

Strategies for Procurement and Implementation

  • Key insights leaders need before investing in AI
  • Assessing vendors, pilots, and partnerships
  • Fostering inter-agency collaboration and data infrastructure readiness

Strategic Planning for AI Adoption

  • Cultivating internal AI literacy and forming cross-functional teams
  • Aligning AI initiatives with mission objectives
  • Developing an AI adoption roadmap for a department or agency

Summary and Next Steps

Requirements

  • Understanding of public sector operations and policy frameworks
  • Interest in utilizing emerging technologies to benefit the public
  • No prior technical expertise in AI is required

Target Audience

  • Senior administrators
  • Ministers and government executives
  • Policy advisors and public sector strategists
 7 Hours

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