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Course Outline
Introduction to AI Regulation in the Public Sector
- The importance of AI policy 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, and 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
- Issues regarding bias, discrimination, and explainability.
- 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 beneficial.
- No technical background in AI is required.
Audience
- Legal advisors in public institutions.
- Compliance officers and regulatory affairs personnel.
- Government professionals involved in AI procurement or risk evaluation.
7 Hours
Testimonials (1)
I got to learn more about Microsoft Copilot, something that I thought was the same as chatGPT but I got to discover more exciting options that I will forever use to make my life easy.
