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 Duration 7 hours

Course Outline

Introduction to AI Regulation in the Public Sector

  • The significance of AI policy for government bodies
  • An 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 and risk categories under the EU AI Act
  • High-risk AI systems and their application in the public sector
  • AI transparency, human oversight, and accountability mechanisms
  • Intersection with GDPR: consent, data minimization, and individual rights

The North American AI Regulatory Landscape

  • Canada's Artificial Intelligence and Data Act (AIDA)
  • The U.S. Executive Order on Safe, Secure, and Trustworthy AI (2023)
  • Sub-national regulations and sector-specific directives (e.g., in healthcare and education)
  • Impact on federal, provincial, and local government agencies

Ethical and Legal Risk Factors

  • Issues regarding bias, discrimination, and algorithmic explainability
  • Legal liability in decision-making driven by algorithms
  • Maintaining public trust through human-in-the-loop controls

AI Governance Structures and Oversight Approaches

  • The NIST AI Risk Management Framework
  • OECD AI Principles and UNESCO guidelines
  • Establishing internal policies and audit procedures

Strategies for Policy Formulation and Execution

  • Crafting responsible AI policies for public entities
  • Fostering inter-departmental cooperation and procurement alignment
  • Implementation of training, communication, and compliance monitoring

Conclusion and Future Directions

Requirements

  • A foundational grasp of public sector legal and compliance structures
  • Knowledge of data protection laws like the GDPR is advantageous
  • No prior technical background in AI is necessary

Target Audience

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

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