AI Governance & Regulatory Frameworks
5 Days
Course Overview
Artificial Intelligence is rapidly being embedded into public services, telecom networks, surveillance systems, spectrum management, cybersecurity, and decision-support platforms. While AI offers efficiency and scale, it introduces risks related to bias, opacity, security, accountability, and civil liberties. Governments and regulators must therefore establish robust AI governance and regulatory frameworks that ensure trustworthy, lawful, ethical, and secure AI adoption. This course provides a structured understanding of AI governance principles, regulatory models, and global best practices, focusing on risk-based regulation, accountability mechanisms, explainability, compliance, and institutional readiness. Participants will work through policy simulations, governance design labs, and real-world regulatory case studies.
Upcoming Trainings
Feb 9, 2026
Feb 23, 2026
Mar 9, 2026
Mar 23, 2026
Target Audience
- Government policy makers and legislators
- Telecom and ICT regulators
- Digital governance and data protection authorities
- AI task forces and national strategy teams
- Legal, compliance, and ethics committees
- Senior public-sector technology leaders
Prerequisites
- Basic understanding of: Digital technologies and data-driven systems
- Basic understanding of: Government policy or regulatory processes
- Familiarity with: AI concepts at a high level (helpful but not mandatory)
- No AI programming or data science background required