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Course Outline

Introduction to AI Regulation in the Public Sector

  • Why AI policy matters for governments
  • Overview of AI use cases and regulatory challenges
  • The role of legal and compliance teams in AI oversight

The EU AI Act and GDPR

  • Structure and classifications under the EU AI Act
  • High-risk AI systems and public sector use cases
  • AI transparency, human oversight, and accountability
  • Overlap with GDPR: consent, data minimisation, and data subject rights

The North American AI Regulation Landscape

  • Canada's Artificial Intelligence and Data Act (AIDA)
  • The U.S. Executive Order on Safe, Secure, and Trustworthy AI (2023)
  • State-level regulations and sector-specific guidance (e.g., healthcare, education)
  • Implications for federal, provincial, and municipal agencies

Ethical and Legal Risk Considerations

  • Issues of bias, discrimination, and explainability
  • Legal liability in algorithmic decision-making
  • Public trust and human-in-the-loop safeguards

AI Governance Frameworks and Oversight Models

  • The NIST AI Risk Management Framework
  • OECD AI Principles and UNESCO guidelines
  • Developing internal policies and audit protocols

Policy Development and Implementation Strategies

  • Drafting responsible AI policy for public organisations
  • Cross-department collaboration and procurement alignment
  • Training, communication, and compliance monitoring

Summary and Next Steps

Requirements

  • A general understanding of public sector legal and compliance frameworks
  • Familiarity with data protection regulations such as the GDPR is beneficial
  • No technical background in AI is required

Audience

  • Legal advisors in public institutions
  • Compliance officers and regulatory affairs personnel
  • Government professionals involved in AI procurement or risk evaluation
 7 Hours

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