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 Duration 7 hours

Course Outline

Fundamentals of Artificial Intelligence

  • Defining AI: Essential terms and underlying technologies.
  • Distinguishing between AI, Machine Learning, and automation.
  • Current trends in AI adoption across the public sector.

Practical AI Applications in Government

  • Service enhancements: chatbots, automated document processing, and predictive analytics.
  • Policy and planning tools: modeling, forecasting, and simulation techniques.
  • Case examples in public safety, healthcare, and citizen engagement.

Navigating Risks, Ethics, and Bias

  • Identifying and understanding algorithmic bias and fairness issues.
  • Applying ethical frameworks to AI decision-making processes.
  • Ensuring transparency, accountability, and system explainability.

AI Governance and Regulatory Environment

  • Overview of the EU AI Act, GDPR, and other global regulatory trends.
  • Examining national AI strategies and governance structures.
  • Considering the impact on public trust and citizen experience.

Procurement and Implementation Approaches

  • Key knowledge areas for leaders considering AI investments.
  • Methods for assessing vendors, pilot programs, and strategic partnerships.
  • Fostering inter-agency cooperation and ensuring data infrastructure readiness.

Strategic Planning for AI Integration

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

Conclusion and Future Actions

Requirements

  • General familiarity with public sector operations and existing policy frameworks.
  • A keen interest in utilizing emerging technologies for the public good.
  • No previous technical expertise in AI is required.

Target Audience

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

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