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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 hurdles
  • The responsibility of legal and compliance teams in AI supervision

The EU AI Act and GDPR

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

The North American AI Regulatory Environment

  • Canada's Artificial Intelligence and Data Act (AIDA)
  • The 2023 U.S. Executive Order on Safe, Secure, and Trustworthy AI
  • State-level regulations and sector-specific guidelines (e.g., healthcare, education)
  • Impact on federal, provincial, and municipal authorities

Ethical and Legal Risk Factors

  • Challenges related to bias, discrimination, and algorithmic explainability
  • Legal liability arising from algorithmic decision-making processes
  • Maintaining public trust and implementing human-in-the-loop controls

AI Governance Frameworks and Supervision Models

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

Strategies for Policy Formulation and Execution

  • Creating responsible AI policies for public organizations
  • Facilitating inter-departmental cooperation and alignment in procurement
  • Implementation of training, communication strategies, and compliance monitoring

Conclusion and Future Actions

Requirements

  • A foundational grasp of public sector legal and compliance structures
  • Basic familiarity with data protection laws, such as GDPR, is advantageous
  • No technical expertise in AI is a prerequisite

Target Audience

  • Legal counsel within public institutions
  • Compliance officers and those in regulatory affairs
  • Government staff involved in AI sourcing or risk assessment

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