An Intensive 5-day Training Course
AI & Machine Learning Policy and Oversight
Ensuring Ethical AI Through Robust Policy and Oversight
CLASSROOM DATES
INTRODUCTION
Artificial Intelligence (AI) and Machine Learning (ML) are transforming business, governance, and everyday life. As these technologies grow in influence, the need for structured AI ethics, policy, and oversight becomes essential to ensure fairness, transparency, and accountability. Without proper governance, organizations risk reputational damage, legal repercussions, and ethical breaches.
This AI & Machine Learning Policy and Oversight Course by EuroMaTech provides a structured framework for leaders and professionals to manage the ethical and regulatory challenges surrounding AI implementation. It explores how to design governance models that align with evolving international standards while maintaining innovation and public trust.
Participants will gain hands-on exposure to AI ethics assessment tools, policy formulation techniques, and global regulatory trends. By combining theory with practical case studies, the course bridges the gap between ethical principles and real-world governance application.
Key highlights of this AI & Machine Learning Policy and Oversight Training include:
- Understanding global AI governance and ethical policy frameworks
- Implementing oversight systems for responsible AI development
- Exploring real-world case studies from industry leaders
- Developing effective risk management and compliance strategies
- Applying ethical decision-making tools in AI project oversight
TRAINING OBJECTIVES
By the end of AI & Machine Learning Policy and Oversight course, participants will be able to:
- Understand emerging AI regulatory frameworks across major global markets
- Apply governance principles that balance innovation with ethical responsibility
- Conduct AI risk assessments and ensure compliance with ethical standards
- Design adaptable oversight frameworks for sustainable AI deployment
- Translate real-world governance lessons into practical organizational strategies
WHO SHOULD ATTEND?
This EuroMaTech AI & Machine Learning Policy and Oversight Course is tailored for professionals responsible for ethics, risk, compliance, and policy governance in AI-driven organizations. It is especially valuable for:
- Ethics Officers and AI Committee Members – Overseeing responsible AI governance practices
- Policy Directors – Developing and enforcing AI guidelines and strategic frameworks
- Compliance Officers – Ensuring adherence to governance and regulatory requirements
- Risk Management Directors – Managing AI ethics, accountability, and mitigation measures
- Legal and Regulatory Directors – Handling AI-related compliance and legislative alignment
- Research and Development Leaders – Overseeing ethical integration in AI initiatives
- AI Project Managers – Embedding oversight and transparency into AI implementation
By the end of this course, participants will be equipped to design, implement, and monitor governance systems that ensure ethical compliance and regulatory adherence while supporting innovation in AI and machine learning.
TRAINING METHODOLOGY
This AI & Machine Learning Policy and Oversight Training uses a dynamic and engaging methodology combining expert-led lectures, peer discussions, case study reviews, and scenario-based exercises.
Participants will analyze real-world AI governance dilemmas, develop policy responses, and explore current oversight models adopted by leading global institutions. The sessions are guided by seasoned professionals with extensive experience in ethics, compliance, and AI governance, ensuring practical relevance and immediate workplace application.
TRAINING SUMMARY
This AI & Machine Learning Policy and Oversight Course empowers organizations to establish strong governance structures that promote responsible, transparent, and compliant AI practices. Through this EuroMaTech course, participants will gain the confidence to align their organizational strategies with global AI ethical standards while safeguarding stakeholder trust.
Key takeaways include:
- Strengthened policy frameworks aligned with global AI governance standards
- Enhanced stakeholder confidence through ethical AI deployment
- Reduced compliance and ethical risks in AI operations
- Promotion of transparency, accountability, and fairness in AI projects
- Improved organizational competitiveness through responsible innovation
- Better alignment with evolving regulatory and policy landscapes
This course provides the foundation for building a sustainable AI governance culture that fosters trust, integrity, and long-term business success.
TRAINING OUTLINE
Day 1: ML Policy Foundations
Policy Framework
- Global ML Policy Standards
- Ethical AI Guidelines
- Model Governance Requirements
- Bias Detection and Mitigation
- Fairness Metrics
Regional Focus
- Saudi Arabia
- UAE
- Qatar
- African AI Initiatives
SDAIA's Framework
- Policy Development
- Implementation Strategy
- Monitoring Mechanisms
Day 2: Oversight Mechanisms
Core Components
- Model Review Boards
- Algorithmic Auditing
- Performance Monitoring
- Bias Assessment
- Fairness Evaluation
Implementation
- Oversight Committees
- Reporting Structures
- Escalation Procedures
- Documentation Requirements
- Review Processes
Day 3: Ethical AI Development
Ethics Framework
- Ethical AI Principles
- Responsible Development
- Transparency Requirements
- Accountability Measures
- Explainability Standards
Practical Ethics
- Ethics by Design
- Cultural Considerations
- Stakeholder Engagement
- Impact Assessment
- Value Alignment
Misk Foundation AI Ethics Program
- Ethics Framework
- Implementation Strategy
- Monitoring Approach
Day 4: Implementation Strategies
Policy Integration
- Policy Development
- Stakeholder Management
- Change Implementation
- Training Programs
- Communication Strategy
Monitoring
- Performance Metrics
- Ethics Violations
- Corrective Actions
- Reporting Framework
- Continuous Improvement
King Abdullah University of Science and Technology AI Research Ethics
- Policy Implementation
- Ethics Monitoring
- Performance Metrics
Day 5: Future Trends and Workshop
Emerging Issues
- Advanced AI Ethics
- Automated Decision-Making
- Human-AI Interaction
- Rights and Responsibilities
- Future Governance Models
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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.
