An Intensive 5-day Training Course
AI Governance, Risk and Compliance
Empowering Leaders to Navigate AI in Corporate Governance with Confidence
CLASSROOM DATES
INTRODUCTION
The EuroMaTech AI Governance Training Course provides a comprehensive exploration of the critical aspects of artificial intelligence governance, risk management, and compliance. As AI technology rapidly reshapes industries across the globe, organisations face increasing demands to establish governance frameworks that manage risk, ensure compliance, and uphold ethical standards. This AI Governance, Risk and Compliance Course is designed to help senior leaders navigate the evolving AI regulatory landscape, with a particular focus on emerging markets such as the Middle East and Africa.
Participants will gain actionable insights into balancing AI innovation with regulatory and ethical responsibilities by leveraging real-world case studies and global best practices. The course delivers a detailed understanding of adaptive governance models, AI risk management methodologies, and compliance strategies aligned with both global and regional standards. Delivered by industry experts, this AI Governance and Compliance Course ensures participants are equipped to implement practical governance structures that support responsible AI adoption.
Key Takeaways of AI Governance Training Course:
- Gain a clear understanding of global and regional AI regulatory landscapes
- Learn how to create adaptive AI governance frameworks that balance innovation with compliance
- Apply AI risk assessment and management tools for responsible AI deployment
- Analyse case studies from leading organisations to address governance challenges in real-world scenarios
TRAINING OBJECTIVES
By the end of this AI Governance, Risk and Compliance Training Course, participants will:
- Understand the current global and regional AI regulatory environments
- Master adaptive governance approaches tailored for AI systems and applications
- Develop skills in AI risk assessment, management, and compliance oversight
- Design governance frameworks that ensure responsible and compliant AI integration
- Apply best practices and real-world case studies to address AI governance and risk challenges
WHO SHOULD ATTEND?
This AI Governance and Compliance training course is tailored for Professionals engaged in Corporate Governance, AI Risk Management, Compliance, and Strategic Leadership across diverse industries such as Oil and Gas, Banking, Telecom, and Manufacturing. It is particularly valuable for:
- Chief Compliance Officers (CCOs) and Legal Directors Overseeing AI Risk and Regulatory Compliance
- Policy Directors and Government Relations Managers shaping AI Policies and Standards
- Digital Transformation Leaders Driving AI Integration and Governance Within Organisations
- Risk Management Directors Managing Organisational Risks Linked to AI Systems
- Innovation Directors Leading AI Adoption and Strategic Alignment
- Data Protection Officers (DPOs) Ensuring AI Data Privacy and Governance
- IT Governance Managers Overseeing AI Platforms and Infrastructure
- Strategic Planning Directors Incorporating AI into Corporate Strategies
TRAINING METHODOLOGY
This AI Governance Training Course employs an interactive and immersive approach, blending lectures, group discussions, and practical exercises to ensure a comprehensive learning experience. Participants will engage in case studies of real-world AI governance scenarios, collaborative discussions, and group problem-solving activities to deepen understanding. The course facilitator, an industry expert with extensive experience in AI governance and compliance, will share best practices, practical tools, and provide tailored guidance. Networking sessions will also allow participants to exchange experiences and develop AI governance action plans relevant to their organisations.
TRAINING SUMMARY
Organisations participating in this AI Governance, Risk and Compliance Course will gain significant benefits, including:
- Reduced risk of non-compliance during AI deployment and operations
- Enhanced stakeholder trust in corporate AI governance structures
- Greater organisational agility to respond to evolving AI regulations and standards
- Stronger positioning for international AI collaborations, partnerships, and projects
- A structured framework for ethical and responsible AI deployment
- Competitive advantage through the establishment of robust, future-proof AI governance strategies
- Improved preparedness for AI-related audits and regulatory assessments
TRAINING OUTLINE
Day 1: Global AI Regulatory Landscape and Foundations
Global AI Policy Framework
- EU AI Act Overview and Implementation Timeline
- US AI Executive Order 14110 (October 2023)
- Saudi Arabia's National Strategy for Data and AI (NSDAI)
- African Union's Digital Transformation Strategy 2020-2030
Regional Focus
- SAMA (Saudi Central Bank)
- UAE
- Qatar's National Strategy
- African AI Regulatory Initiatives
- Regulatory Challenges and Solutions
- Integration of Adaptive Governance Principles
- Stakeholder Management Approaches
Day 2: Adaptive Governance Frameworks
Theoretical Foundations
- Principles of Adaptive Governance
- Risk-Based Approaches to AI Regulation
- Stakeholder Engagement Models
- Dynamic Risk Assessment Frameworks
Implementation Strategies
- Regulatory Sandboxes
- Iterative Policy Development
- Continuous Monitoring Systems
Day 3: AI Risk Management and Compliance
Risk Assessment
- AI Risk Classification Systems (EU AI Act Model)
- Technical Standards and Compliance
- Documentation Requirements
- Audit Trails and Traceability
Compliance Frameworks
- ISO/IEC Standards for AI
- IEEE Ethics Frameworks
- Regional Compliance Requirements
- Mashreq Bank's AI Implementation Framework
- Risk Assessment Methodology
- Compliance Documentation
- Adaptive Governance Implementation
Day 4: Practical Implementation
Organizational Integration
- Creating AI Governance Committees
- Stakeholder Management
- Change Management Strategies
- Resource Allocation
Monitoring and Adaptation
- KPI Development
- Performance Metrics
- Feedback Loops
- Adaptation Triggers
Day 5: Future Trends
- Emerging Trends
- Large Language Model Governance
- Autonomous Systems Regulation
- Cross-Border AI Governance
- International Cooperation Frameworks
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ACCREDITATION
EuroMaTech is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.NASBARegistry.org.
Euromatech is a Knowledge & Human Development Authority (KHDA) approved training institute in Dubai, licensed and approved to deliver training courses in the UAE.
The KHDA is the regulatory authority in the UAE, that oversees administering, approving, supervising, and controlling the activities of various education providers in the UAE. We are proud of our commitment to ensuring quality training courses and status as a KHDA-approved training provider.
