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Course Outline

Foundations of Artificial Intelligence

  • Defining AI: Essential terminology and underlying technologies.
  • Distinguishing between AI, Machine Learning (ML), and general automation.
  • Current trends in the adoption of AI 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.
  • Illustrative examples from public safety, healthcare, and citizen engagement.

Addressing Risks, Ethics, and Bias

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

AI Governance and Regulatory Environment

  • Overview of the EU AI Act, GDPR, and other global regulatory shifts.
  • National AI strategies and established governance frameworks.
  • Considerations regarding public trust and the impact on citizens.

Strategies for Procurement and Implementation

  • Key considerations for leaders prior to investing in AI solutions.
  • Methods for evaluating vendors, pilot projects, and partnerships.
  • Fostering inter-agency collaboration and ensuring data infrastructure readiness.

Strategic Planning for AI Integration

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

Conclusion and Forward-Looking Actions

Requirements

  • A working knowledge of public sector operations and policy structures.
  • A genuine interest in utilizing emerging technologies for the benefit of the public.
  • No prior technical expertise in AI is necessary.

Target Audience

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

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