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 Duration 7 hours

Course Outline

Foundational Overview of Artificial Intelligence Regulatory Standards in Public Administration

  • Strategic significance of AI governance frameworks for public entities
  • Synthesis of operational applications and associated regulatory hurdles
  • Mandates for legal divisions and compliance units in supervising AI initiatives

EU AI Act and GDPR Compliance Requirements

  • Architectural breakdown and risk categorization protocols under the EU AI Act
  • Management of high-risk AI systems within state and local government contexts
  • Intersection with GDPR provisions regarding informed consent, data minimization, and individual rights

Regulatory Environment for AI in North America

  • Provisions within Canada’s Artificial Intelligence and Data Act (AIDA)
  • Directives established by the U.S. Executive Order on Safe, Secure, and Trustworthy AI (2023)
  • Jurisdiction-specific statutes and sectoral guidelines (including healthcare and education)
  • Operational impacts on federal, provincial, and municipal administrative bodies

Ethical and Legal Risk Management Considerations

  • Identification of algorithmic bias, discriminatory outcomes, and lack of explainability
  • Determination of legal accountability in automated decision-making processes
  • Maintenance of public confidence through human-in-the-loop verification mechanisms

AI Governance Structures and Supervisory Models

  • Application of the NIST AI Risk Management Framework
  • Alignment with OECD AI Principles and UNESCO international guidelines
  • Formulation of internal control policies and internal audit procedures

Strategies for Policy Formulation and Operational Execution

  • Construction of responsible AI policy directives for public sector organizations
  • Inter-departmental coordination and alignment with public procurement standards
  • Implementation of staff training, communication protocols, and ongoing compliance surveillance

Conclusions and Recommended Action Items

Requirements

  • Foundational knowledge of public sector legal and compliance structures
  • Working familiarity with data protection statutes, such as GDPR, is advantageous
  • No prior technical expertise in artificial intelligence is mandatory

Intended Participants

  • Legal counsel and advisors serving public institutions
  • Compliance officers and personnel responsible for regulatory affairs
  • Public sector professionals engaged in AI acquisition or risk assessment processes

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