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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 within 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.
  • Real-world examples in public safety, healthcare, and citizen engagement.

Risks, Ethics, and Bias in AI

  • Understanding algorithmic bias and ensuring fairness.
  • Applying ethical decision-making principles to AI systems.
  • Prioritizing transparency, accountability, and explainability.

AI Governance and Regulatory Environment

  • Reviewing the EU AI Act, GDPR, and international regulatory shifts.
  • Examining national AI strategies and governance frameworks.
  • Considering the impact on public trust and citizen experience.

Procurement and Implementation Approaches

  • Key knowledge areas for leaders prior to AI investment.
  • Assessing vendors, pilot programs, and strategic partnerships.
  • Preparing data infrastructure and fostering inter-agency collaboration.

Strategic Planning for AI Integration

  • Cultivating internal AI literacy and building cross-functional teams.
  • Aligning AI initiatives with core mission outcomes.
  • Developing adoption roadmaps for specific departments or agencies.

Conclusion and Future Steps

Requirements

  • A working understanding of public sector operations and existing policy frameworks.
  • A genuine interest in harnessing emerging technologies for societal benefit.
  • No prior technical expertise in AI is necessary.

Target Audience

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

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