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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 via chatbots, document automation, and predictive analytics
  • Informing policy and planning through modeling, forecasting, and simulations
  • Practical examples from public safety, healthcare, and citizen engagement

Navigating Risks, Ethics, and Bias in AI

  • Understanding algorithmic bias and the principles of fairness
  • Promoting ethical decision-making within AI systems
  • Ensuring transparency, accountability, and explainability

AI Governance and the Regulatory Environment

  • Overview of the EU AI Act, GDPR, and other global regulatory shifts
  • Examination of national AI strategies and governance structures
  • Considerations regarding public trust and the impact on citizens

Procurement and Implementation Strategies

  • Key insights for leaders prior to investing in AI solutions
  • Methods for evaluating vendors, managing pilots, and fostering partnerships
  • Facilitating inter-agency collaboration and ensuring data infrastructure readiness

Strategic Planning for AI Integration

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

Conclusion and Path Forward

Requirements

  • Knowledge of public sector operations and existing policy frameworks
  • A commitment to leveraging emerging technologies for societal benefit
  • No prior technical experience in AI is necessary

Target Audience

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

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