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 Duration 7 hours

Course Outline

Foundations of AI Regulation in the Public Sector

  • The significance of AI policy for governmental bodies
  • Key AI applications and associated regulatory hurdles
  • The critical function of legal and compliance teams in AI supervision

Deep Dive into the EU AI Act and GDPR

  • Framework structure and risk classifications under the EU AI Act
  • High-risk AI systems and their specific public sector applications
  • Prioritizing transparency, human oversight, and accountability in AI
  • Intersections with GDPR: consent, data minimization, and data subject rights

The North American AI Regulatory Environment

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

Navigating Ethical and Legal Risks

  • Addressing bias, discrimination, and the need for explainability
  • Legal accountability in algorithmic decision-making processes
  • Maintaining public trust through human-in-the-loop safeguards

AI Governance Structures and Supervision Models

  • Overview of the NIST AI Risk Management Framework
  • Application of OECD AI Principles and UNESCO guidelines
  • Establishing internal policies and audit procedures

Strategies for Policy Creation and Execution

  • Crafting responsible AI policies for public institutions
  • Fostering cross-departmental cooperation and procurement alignment
  • Managing training initiatives, communication, and compliance tracking

Wrap-up and Future Directions

Requirements

  • A foundational grasp of public sector legal and compliance structures
  • Prior knowledge of data protection laws, particularly GDPR, is advantageous
  • No technical AI background is necessary

Target Audience

  • Legal counsel within government bodies
  • Compliance managers and regulatory affairs specialists
  • Public sector officials engaged in AI procurement or risk assessment

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