AI Policy and Regulation for Governments Training Course
The landscape of AI policy and regulation is evolving rapidly, directly shaping how government bodies design, implement, and monitor artificial intelligence systems.
Designed for public sector legal and compliance professionals with limited prior experience in AI technologies, this live, instructor-led course (available online or on-site) focuses on understanding regulatory trends, ethical frameworks, and the policy implications of deploying AI responsibly.
Upon completion, participants will be equipped to:
- Analyze core components of key AI legislation, including the EU AI Act and GDPR.
- Evaluate current policy developments across national and international bodies (such as Canada, the U.S., and the OECD).
- Identify and assess legal and ethical risks associated with the procurement and utilization of AI.
- Play a key role in establishing AI governance, oversight mechanisms, and inter-agency consistency.
Course Methodology
- Engaging lectures combined with the analysis of legal case studies.
- Exercises involving regulatory comparisons and policy mapping.
- Facilitated group discussions based on practical scenarios.
Customization Availability
- Interested in a tailored version of this curriculum? Please reach out to us to discuss options.
Course Outline
Foundations of AI Regulation in the Public Sector
- The importance of AI policy for government operations
- An overview of AI applications and the regulatory challenges they pose
- The critical role of legal and compliance teams in overseeing AI
The EU AI Act and GDPR
- Structural aspects and risk classifications defined by the EU AI Act
- High-risk AI systems and their specific use cases in the public sector
- Requirements for transparency, human oversight, and accountability in AI
- Intersections with GDPR: focusing on consent, data minimization, and individual rights
The AI Regulatory Environment in North America
- Canada’s Artificial Intelligence and Data Act (AIDA)
- The U.S. Executive Order on Safe, Secure, and Trustworthy AI (2023)
- Sub-national regulations and sector-specific guidance (e.g., in healthcare and education)
- The impact on federal, provincial, and municipal government entities
Ethical and Legal Risk Assessment
- Addressing issues of bias, discrimination, and explainability
- Legal liability arising from algorithmic decision-making processes
- Maintaining public trust through human-in-the-loop safeguards
AI Governance Structures and Oversight Mechanisms
- The NIST AI Risk Management Framework
- OECD AI Principles and UNESCO guidelines
- Formulating internal policies and establishing audit protocols
Strategies for Policy Development and Execution
- Drafting responsible AI policies for public organizations
- Fostering inter-departmental collaboration and aligning procurement practices
- Implementing training programs, communication strategies, and compliance monitoring
Conclusion and Future Steps
Requirements
- A foundational grasp of legal and compliance structures within the public sector
- Awareness of data protection laws, such as GDPR, is advantageous
- No technical expertise in AI is necessary
Target Audience
- Legal counsel in governmental institutions
- Compliance specialists and regulatory affairs staff
- Public sector professionals engaged in AI procurement or risk assessment
Open Training Courses require 5+ participants.
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Thato Malapane - MSP Mine Support Products (Pty) ltd
Course - AI Tools for Administrative Efficiency (ChatGPT, Copilot, Gemini)
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