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 Duration 7 hours

Course Outline

Foundations of Artificial Intelligence

  • Defining AI: Key terminology and core technologies
  • Distinguishing between AI, machine learning, and automation
  • Current trends in AI integration within the public sector

Practical AI Applications in Government

  • Enhancing service delivery through chatbots, document automation, and predictive analytics
  • Utilizing AI for policy development, forecasting, and complex modeling
  • Case examples from public safety, healthcare, and citizen engagement

Addressing Risks, Ethics, and Bias

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

AI Governance and the Regulatory Environment

  • Overview of the EU AI Act, GDPR, and other global regulatory updates
  • Examining national AI strategies and established governance frameworks
  • Maintaining public trust and considering the impact on citizens

Procurement and Implementation Approaches

  • Key considerations for leaders prior to AI investment
  • Criteria for evaluating vendors, pilot programs, and strategic partnerships
  • Fostering inter-agency collaboration and ensuring data infrastructure readiness

Strategic Planning for AI Integration

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

Recap and Recommended Next Steps

Requirements

  • Basic understanding of public sector operations and policy structures
  • A genuine interest in applying emerging technologies for societal benefit
  • No prior technical knowledge of AI is necessary

Target Audience

  • Senior government administrators
  • Ministers and high-level government executives
  • Policy advisors and strategic planners within the public sector

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