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Course Outline
Introduction to AI Regulation in the Public Sector
- Why AI policy matters for governments
- Overview of AI use cases and regulatory challenges
- The role of legal and compliance teams in AI oversight
EU AI Act and GDPR
- Structure and classifications under the EU AI Act
- High-risk AI systems and public sector use cases
- AI transparency, human oversight, and accountability
- Overlap with GDPR: consent, data minimization, data subject rights
North American AI Regulation Landscape
- Canada's AI and Data Act (AIDA)
- U.S. Executive Order on Safe, Secure, and Trustworthy AI (2023)
- State-level regulations and sector-specific guidance (e.g., healthcare, education)
- Implications for federal, provincial, and municipal agencies
Ethical and Legal Risk Considerations
- Bias, discrimination, and explainability issues
- Legal liability in algorithmic decision-making
- Public trust and human-in-the-loop safeguards
AI Governance Frameworks and Oversight Models
- NIST AI Risk Management Framework
- OECD AI Principles and UNESCO guidelines
- Developing internal policies and audit protocols
Policy Development and Implementation Strategies
- Drafting responsible AI policy for public organizations
- Cross-department collaboration and procurement alignment
- Training, communication, and compliance monitoring
Summary and Next Steps
Requirements
- General understanding of public sector legal and compliance frameworks
- Familiarity with data protection regulations such as GDPR is helpful
- No technical background in AI required
Audience
- Legal advisors in public institutions
- Compliance officers and regulatory affairs personnel
- Government professionals involved in AI procurement or risk evaluation
7 Hours
