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 Duration 7 hours

Course Outline

Foundations of AI Regulation in Public Administration

  • The significance of AI policy for government entities
  • Overview of AI applications and associated regulatory hurdles
  • The function of legal and compliance teams in AI supervision

The EU AI Act and GDPR Framework

  • Architecture and risk classifications under the EU AI Act
  • Managing high-risk AI systems in public sector contexts
  • Ensuring AI transparency, human oversight, and accountability
  • Intersections with GDPR: consent, data minimization, and individual rights

AI Regulatory Environment in North America

  • Canada's Artificial Intelligence and Data Act (AIDA)
  • The 2023 U.S. Executive Order on Safe, Secure, and Trustworthy AI
  • State-level rules and sector-specific directives (e.g., in healthcare and education)
  • Impacts on federal, provincial, and local government bodies

Ethical and Legal Risk Assessment

  • Addressing bias, discrimination, and algorithmic explainability
  • Legal liability surrounding automated decision-making processes
  • Maintaining public trust through human-in-the-loop controls

AI Governance Structures and Oversight Mechanisms

  • Application of the NIST AI Risk Management Framework
  • Aligning with OECD AI Principles and UNESCO guidelines
  • Formulating internal policies and audit procedures

Strategic Policy Formulation and Execution

  • Creating responsible AI policies for public organizations
  • Fostering cross-departmental cooperation and procurement consistency
  • Implementing training, communication strategies, and compliance tracking

Conclusion and Forward Path

Requirements

  • A foundational knowledge of public sector legal and compliance structures.
  • Basic awareness of data protection laws, such as GDPR, is beneficial.
  • No prior technical expertise in AI is necessary.

Target Audience

  • Legal counsel within public institutions.
  • Compliance officers and regulatory affairs specialists.
  • Government staff engaged in AI procurement or risk assessment.

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