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 Duration 7 hours

Course Outline

Introduction to AI Regulation in the Public Sector

  • The significance of AI policy for governments
  • An overview of AI use cases and associated regulatory challenges
  • The role of legal and compliance teams in AI oversight

EU AI Act and GDPR

  • Structure and classifications defined under the EU AI Act
  • High-risk AI systems and their application in the public sector
  • AI transparency, human oversight, and accountability mechanisms
  • Intersections with GDPR: consent, data minimization, and data subject rights

North American AI Regulatory Landscape

  • Canada’s Artificial Intelligence and Data Act (AIDA)
  • U.S. Executive Order on Safe, Secure, and Trustworthy AI (2023)
  • State-level regulations and sector-specific guidance (e.g., healthcare, education)
  • Implications for federal, provincial, and municipal agencies

Ethical and Legal Risk Considerations

  • Issues related to bias, discrimination, and explainability
  • Legal liability in algorithmic decision-making
  • Public trust and human-in-the-loop safeguards

AI Governance Frameworks and Oversight Models

  • NIST AI Risk Management Framework
  • OECD AI Principles and UNESCO guidelines
  • Developing internal policies and audit protocols

Policy Development and Implementation Strategies

  • Drafting responsible AI policies for public organizations
  • Cross-department collaboration and alignment with procurement
  • Training, communication, and compliance monitoring

Summary and Next Steps

Requirements

  • A foundational understanding of public sector legal and compliance frameworks
  • Familiarity with data protection regulations, such as GDPR, is advantageous
  • No prior technical background in AI is required

Target Audience

  • Legal advisors within public institutions
  • Compliance officers and regulatory affairs specialists
  • Government professionals engaged in AI procurement or risk assessment

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