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 Duration 7 hours

Course Outline

Foundations of Artificial Intelligence

  • Defining AI: Essential terminology and core 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 via chatbots, document automation, and predictive analytics.
  • Supporting policy and planning through modeling, forecasting, and simulations.
  • Illustrative examples in public safety, healthcare, and citizen engagement.

AI Risks, Ethics, and Bias

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

AI Governance and Regulatory Environment

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

Procurement and Implementation Tactics

  • Key considerations for leaders before investing in AI solutions.
  • Evaluating vendors, pilot programs, and strategic partnerships.
  • Preparing for inter-agency collaboration and data infrastructure readiness.

Strategic Planning for AI Integration

  • Fostering internal AI literacy and building cross-functional teams.
  • Aligning AI initiatives with organizational mission outcomes.
  • Creating roadmaps for AI adoption within specific departments or agencies.

Conclusion and Action Items

Requirements

  • Basic understanding of public sector workflows and policy frameworks.
  • A keen interest in applying emerging technologies for societal benefit.
  • No prior technical experience with AI is necessary.

Intended Audience

  • Senior public administrators.
  • Ministers and high-level government executives.
  • Policy advisors and public sector strategy professionals.

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