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Course Outline

Overview of Artificial Intelligence

  • Defining AI: Essential terminology and technologies
  • Distinguishing between AI, Machine Learning, and automation
  • Current trends in AI adoption within the public sector

Applications of AI in Government

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

Addressing Risks, Ethics, and Bias in AI

  • Grasping the concepts of algorithmic bias and fairness
  • Navigating ethical decision-making in AI systems
  • Ensuring transparency, accountability, and explainability

AI Governance and the Regulatory Environment

  • Key regulations including the EU AI Act, GDPR, and global developments
  • National AI strategies and governance frameworks
  • Considerations for public trust and citizen impact

Strategies for Procurement and Implementation

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

Strategic Planning for AI Integration

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

Conclusion and Future Steps

Requirements

  • Understanding of public sector operations and policy frameworks
  • A desire to utilize emerging technologies for societal benefit
  • No previous technical background in AI is necessary

Target Audience

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

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