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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.

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 minimization, and data subject rights.

North American AI Regulation Landscape

  • Canada's AI and Data Act (AIDA).
  • 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

  • Bias, discrimination, and explainability issues.
  • Legal liability in algorithmic decision-making.
  • Public trust and human-in-the-loop safeguards.

AI Governance Frameworks and Oversight Models

  • 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 organizations.
  • Cross-department collaboration and procurement alignment.
  • Training, communication, and compliance monitoring.

Summary and Next Steps

Requirements

  • General understanding of public sector legal and compliance frameworks.
  • Familiarity with data protection regulations such as GDPR is helpful.
  • 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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