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Duration 7 hours
Course Outline
Introduction to AI Regulation in the Public Sector
- The significance of AI policy for governmental entities.
- A summary of AI applications and associated regulatory challenges.
- The function of legal and compliance teams in AI oversight.
The EU AI Act and GDPR Frameworks
- Structure and classification systems within the EU AI Act.
- High-risk AI systems and their relevance to public sector scenarios.
- Ensuring AI transparency, human supervision, and accountability.
- Intersections with GDPR: consent requirements, 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 legislation and sector-specific directives (e.g., in healthcare and education).
- Impact on federal, provincial, and municipal bodies.
Ethical and Legal Risk Analysis
- Addressing bias, discrimination, and algorithmic explainability.
- Legal liability in contexts involving algorithmic decision-making.
- Maintaining public trust through human-in-the-loop protections.
AI Governance Structures and Oversight Mechanisms
- 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.
- Fostering inter-departmental cooperation and procurement consistency.
- Implementing training programs, communication strategies, and compliance tracking.
Conclusion and Future Directions
Requirements
- A foundational grasp of public sector legal and compliance frameworks.
- Basic familiarity with data protection laws, such as GDPR, is advantageous.
- No specialized technical background in AI is required.
Intended Audience
- Legal counsel within public institutions.
- Compliance officers and regulatory affairs specialists.
- Government professionals engaged in AI procurement or risk assessment processes.
Testimonials (1)
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