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 Duration 7 hours

Course Outline

Introduction to AI Regulation in the Public Sector

  • The significance of AI policy for governmental bodies
  • An overview of AI applications and associated regulatory hurdles
  • The function of legal and compliance teams in overseeing AI

EU AI Act and GDPR

  • The framework and categorizations established by the EU AI Act
  • High-risk AI systems and their specific use cases in the public sector
  • Ensuring AI transparency, human supervision, and accountability
  • Intersections with GDPR, including consent, data minimization, and data subject rights

North American AI Regulatory Environment

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

Ethical and Legal Risk Assessment

  • Addressing bias, discrimination, and explainability concerns
  • Determining legal liability in algorithmic decision processes
  • Maintaining public confidence through human-in-the-loop safeguards

AI Governance Structures and Oversight Mechanisms

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

Strategies for Policy Formulation and Execution

  • Creating responsible AI policies for public sector entities
  • Fostering cross-departmental cooperation and aligning procurement processes
  • Implementing training, communication strategies, and compliance monitoring

Requirements

  • A foundational understanding of public sector legal and compliance frameworks
  • Knowledge of data protection regulations like GDPR is advantageous
  • No technical background in AI is necessary

Target Audience

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

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