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 Duration 7 hours

Course Outline

Introduction to AI Regulation in the Public Sector

  • The importance of AI policy for government bodies
  • A review of AI applications and associated regulatory obstacles
  • The function of legal and compliance teams in supervising AI

EU AI Act and GDPR

  • Framework and categorization under the EU AI Act
  • High-risk AI systems and their application in the public sector
  • Requirements for AI transparency, human supervision, and accountability
  • Intersections with GDPR: consent, data minimization, and data subject rights

North American AI Regulatory Environment

  • Canada’s AI and Data Act (AIDA)
  • The U.S. Executive Order on Safe, Secure, and Trustworthy AI (2023)
  • Regional laws and industry-specific directives (e.g., in healthcare and education)
  • Impact on federal, provincial, and municipal organizations

Ethical and Legal Risk Assessment

  • Issues related to bias, discrimination, and algorithmic explainability
  • Legal responsibility in algorithmic decision processes
  • Maintaining public confidence and implementing human-in-the-loop protections

AI Governance Structures and Oversight Models

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

Policy Formulation and Execution Tactics

  • Formulating responsible AI policies for public entities
  • Facilitating inter-departmental cooperation and procurement alignment
  • Staff training, communication strategies, and compliance tracking

Requirements

  • A general grasp of legal and compliance structures within the public sector.
  • Prior knowledge of data protection rules like GDPR is advantageous but not mandatory.
  • No technical expertise in AI is necessary.

Target Audience

  • Legal consultants in public institutions.
  • Compliance managers and regulatory affairs staff.
  • Government officials involved in AI procurement or risk assessment.

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