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 Duration 7 hours

Course Outline

Introduction to AI Regulation in the Public Sector

  • The significance of AI policy for governmental entities
  • Survey of AI applications and associated regulatory hurdles
  • The function of legal and compliance units in AI supervision

The EU AI Act and GDPR

  • Framework and categorizations established by the EU AI Act
  • High-risk AI systems and their application in the public sector
  • AI transparency, human supervision, and accountability measures
  • Intersections with GDPR: consent, data minimization, and data subject rights

Regulatory Landscape for AI in North America

  • Canada’s Artificial Intelligence and Data Act (AIDA)
  • U.S. Executive Order on Safe, Secure, and Trustworthy AI (2023)
  • State-level rules and sector-specific directives (e.g., healthcare, education)
  • Impact on federal, provincial, and municipal authorities

Ethical and Legal Risk Factors

  • Issues concerning bias, discrimination, and explainability
  • Legal responsibility in algorithm-based decision processes
  • Maintaining public confidence and implementing human-in-the-loop protections

AI Governance Structures and Supervisory Models

  • NIST AI Risk Management Framework
  • OECD AI Principles and UNESCO recommendations
  • Formulating internal policies and audit procedures

Strategies for Policy Formulation and Execution

  • Crafting responsible AI policies for public organizations
  • Fostering inter-departmental cooperation and procurement consistency
  • Training, communication, and compliance tracking

Summary and Recommended Next Steps

Requirements

  • A foundational grasp of public sector legal and compliance structures
  • Knowledge of data protection laws such as GDPR is advantageous
  • No technical expertise in AI is necessary

Target Audience

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

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