AI Policy and Regulation for Governments Training Course
AI policy and regulation is a rapidly evolving field that has a direct impact on how governments develop, adopt, and oversee artificial intelligence systems.
This instructor-led, live training (conducted online or onsite) is designed for public sector legal and compliance professionals who have limited prior exposure to AI technologies. The goal is to help them understand regulatory developments, ethical frameworks, and policy considerations for the responsible deployment of AI.
By the end of this training, participants will be able to:
- Interpret key components of AI-related regulations such as the EU AI Act and GDPR.
- Assess national and international policy developments (such as those in Canada, the U.S., OECD, etc.).
- Evaluate legal and ethical risks associated with AI procurement and use.
- Contribute to AI governance, oversight, and cross-agency alignment.
Format of the Course
- Interactive lectures and legal case analysis.
- Regulatory comparisons and policy mapping exercises.
- Scenario-based group discussions.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
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
Open Training Courses require 5+ participants.
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Testimonials (1)
Knowledge of AI
Agnieszka Socha - Koenig & Bauer (CEE) Sp. z o.o.
Course - AI Tools for Administrative Efficiency (ChatGPT, Copilot, Gemini)
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