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 Duration 7 hours

Course Outline

Intro to AI Regulation in the Public Sector

  • The significance of AI policy for governmental bodies.
  • A look at AI applications and associated regulatory hurdles.
  • The contribution of legal and compliance teams to AI supervision.

The EU AI Act and GDPR

  • The framework and risk categorizations within the EU AI Act.
  • High-risk AI systems and their application in the public sector.
  • Ensuring AI transparency, human supervision, and accountability.
  • Intersections with GDPR: consent, data minimization, and individual rights.

AI Regulatory Environment in North America

  • 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).
  • Impact on federal, provincial, and municipal government agencies.

Ethical and Legal Risk Factors

  • Issues related to bias, discrimination, and model explainability.
  • Legal responsibilities in algorithmic decision processes.
  • Maintaining public confidence through human-in-the-loop protections.

AI Governance Structures and Supervision Models

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

Strategies for Policy Formulation and Execution

  • Crafting responsible AI policies for public entities.
  • Fostering inter-departmental cooperation and procurement consistency.
  • Focus on training, internal communication, and compliance monitoring.

Recap and Future Actions

Requirements

  • A foundational grasp of legal and compliance frameworks within the public sector.
  • Prior knowledge of data protection laws like GDPR is advantageous.
  • No technical expertise in AI is necessary.

Target Audience

  • Legal advisors working in public institutions.
  • Compliance officers and staff involved in regulatory affairs.
  • Government personnel engaged in AI procurement or risk assessment.

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