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Course Outline

Introduction to Artificial Intelligence

  • Defining AI, key terms, and underlying technologies.
  • Distinguishing between AI, Machine Learning (ML), and automation.
  • Current trends in the adoption of AI within the public sector.

AI Use Cases in Government

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

Risks, Ethics, and Bias in AI

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

AI Governance and Regulatory Landscape

  • Overview of the EU AI Act, GDPR, and other global regulatory developments.
  • Examining national AI strategies and governance frameworks.
  • Considering impacts on public trust and citizens.

Procurement and Implementation Strategies

  • Essential insights for leaders before investing in AI.
  • Strategies for evaluating vendors, conducting pilots, and forming partnerships.
  • Fostering inter-agency collaboration and assessing data infrastructure readiness.

Strategic Planning for AI Adoption

  • Building internal AI literacy and establishing cross-functional teams.
  • Aligning AI initiatives with core mission outcomes.
  • Developing a roadmap for AI adoption within specific departments or agencies.

Summary and Next Steps

Requirements

  • Understanding of public sector operations and policy frameworks.
  • A strong interest in utilizing emerging technologies for the public benefit.
  • No prior technical background in AI is required.

Target Audience

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

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