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 Duration 7 hours

Course Outline

Introduction to AI Regulation in the Public Sector

  • The significance of AI policy for governmental bodies
  • An overview of AI applications and associated regulatory challenges
  • The function of legal and compliance teams in AI supervision

The EU AI Act and GDPR

  • The architecture and risk classifications under the EU AI Act
  • High-risk AI systems and their applications in the public sector
  • Ensuring AI transparency, human oversight, and accountability
  • 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 rules and sector-specific directives (e.g., in healthcare and education)
  • Implications for federal, provincial, and local agencies

Ethical and Legal Risk Assessment

  • Issues of bias, discrimination, and model explainability
  • Legal liability regarding algorithmic decision-making
  • Maintaining public trust through human-in-the-loop safeguards

AI Governance Structures and Oversight Models

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

Strategies for Policy Formulation and Execution

  • Drafting responsible AI policies for public organizations
  • Facilitating cross-departmental cooperation and procurement consistency
  • Implementing training, communication, and compliance monitoring efforts

Conclusion and Path Forward

Requirements

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

Intended 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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