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 Duration 7 hours

Course Outline

Foundational Insights into Public Sector AI Regulation

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

The EU AI Act and GDPR Frameworks

  • Structural elements and classification systems under the EU AI Act
  • High-risk AI systems and their application in public services
  • Principles of AI transparency, human supervision, and accountability
  • Intersections with GDPR: consent, data minimization, and data subject rights

The 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 industry-specific guidelines (e.g., in healthcare and education)
  • Implications for federal, provincial, and municipal bodies

Ethical and Legal Risk Assessment

  • Challenges regarding bias, discrimination, and model explainability
  • Legal responsibilities in algorithmic decision-making processes
  • Maintaining public trust through human-in-the-loop safeguards

AI Governance Structures and Oversight Strategies

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

Strategies for Policy Formulation and Execution

  • Creating responsible AI policies for public organizations
  • Fostering cross-departmental cooperation and procurement alignment
  • Establishing training, communication, and compliance monitoring systems

Recap and Future Directions

Requirements

  • A general grasp of legal and compliance structures in the public sector
  • Basic knowledge of data protection laws like the GDPR is advantageous
  • No prior 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 processes

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