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 Duration 7 hours

Course Outline

Introduction to Public Sector AI Regulation

  • The strategic importance of AI policy for governmental bodies
  • Key AI applications and the associated regulatory hurdles
  • The pivotal role of legal and compliance teams in AI supervision

The EU AI Act and GDPR

  • Framework structure and risk classifications under the EU AI Act
  • High-risk AI systems and their application in public sector contexts
  • Ensuring AI transparency, human oversight, and accountability
  • Intersection with GDPR: consent mechanisms, data minimization, and user 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)
  • Sub-national regulations and sector-specific directives (e.g., healthcare, education)
  • Relevance for federal, provincial, and municipal authorities

Ethical and Legal Risk Assessment

  • Addressing bias, discrimination, and explainability concerns
  • Legal liabilities arising from algorithmic decision-making
  • Maintaining public trust through human-in-the-loop protections

AI Governance and Oversight Structures

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

Strategies for Policy Creation and Deployment

  • Developing responsible AI policies for public institutions
  • Fostering inter-departmental collaboration and aligned procurement
  • Implementing training, communication, and continuous compliance monitoring

Requirements

  • A solid grasp of legal and compliance structures in the public sector
  • Knowledge of data protection laws like GDPR is beneficial
  • No technical expertise in AI is necessary

Intended Audience

  • Legal counsel within public institutions
  • Compliance officers and staff in regulatory affairs
  • Government personnel responsible for AI procurement or risk assessment

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