AI Policy and Regulation for Governments Training Course
The landscape of AI policy and regulation is advancing at a rapid pace, significantly influencing how governments formulate, implement, and supervise artificial intelligence systems.
This instructor-led, live training (available online or onsite) is designed for public sector legal and compliance professionals who may have limited prior experience with AI technologies. The course aims to help participants navigate regulatory developments, ethical frameworks, and policy considerations essential for the responsible deployment of AI.
Upon completion of this training, participants will be equipped to:
- Interpret key elements of AI-related regulations, including the EU AI Act and GDPR.
- Assess national and international policy developments, such as those in Canada, the U.S., and the OECD.
- Evaluate legal and ethical risks associated with AI procurement and usage.
- Contribute effectively to AI governance, oversight, and cross-agency alignment.
Course Format
- Interactive lectures paired with legal case analysis.
- Exercises involving regulatory comparisons and policy mapping.
- Scenario-based group discussions.
Course Customisation Options
- To request customised training for this course, please contact us to arrange a session.
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 minimisation, 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 organisations
- Cross-department collaboration and procurement alignment
- Training, communication, and compliance monitoring
Summary and Next Steps
Requirements
- A general understanding of public sector legal and compliance frameworks
- Familiarity with data protection regulations such as GDPR is advantageous
- No technical background in AI is required
Audience
- Legal advisors within public institutions
- Compliance officers and regulatory affairs personnel
- Government professionals involved in AI procurement or risk evaluation
Open Training Courses require 5+ participants.
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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.
Thato Malapane - MSP Mine Support Products (Pty) ltd
Course - AI Tools for Administrative Efficiency (ChatGPT, Copilot, Gemini)
Provisional Upcoming Courses (Require 5+ participants)
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