Introduction
As artificial intelligence (AI) becomes an integral part of organizational operations across industries, the need for robust oversight and ethical frameworks is no longer optional—it’s essential. AI is not just a technical advancement; it’s a governance issue, a legal concern, and a cultural challenge.
For leaders and professionals in the Middle East and North Africa (MENA) region—especially those in sectors such as oil and gas, banking, telecommunications, government, HR, project management, and marketing—understanding how to deploy AI ethically and responsibly is a mission-critical competency.
This comprehensive training course equips participants with the strategic insights and practical tools needed to evaluate, manage, and guide AI initiatives through a lens of ethics, compliance, and institutional accountability. Whether you're driving digital transformation or navigating emerging risks, this course is tailored to empower your decision-making.
Course Objectives
- Understand the foundational concepts of AI oversight and ethics.
- Identify ethical dilemmas and regulatory gaps in AI applications.
- Evaluate AI-related risks from operational, legal, and societal angles.
- Apply international ethical frameworks and standards to your projects.
- Design internal governance systems tailored to AI deployment.
- Conduct ethical audits and impact assessments.
- Reduce algorithmic bias and improve data integrity.
- Promote transparency, fairness, and accountability in AI systems.
Course Outlines
Day One: Foundations of Oversight and AI Ethics
- Defining institutional oversight in the AI context.
- Core ethical principles in AI development.
- Differentiating between human and machine bias.
- Overview of international frameworks (OECD, IEEE, UNESCO).
- Case study: Real-world failure of ethical AI.
- Open discussion on ethical dilemmas across sectors.
Day Two: Risk Evaluation and Regulatory Compliance
- AI risk assessment frameworks and workflows.
- Key global regulations (GDPR, EU AI Act, local MENA policies).
- Understanding data privacy and algorithmic discrimination.
- Tools for ethical compliance validation.
- Case analysis of unethical AI deployment.
- Interactive exercise: Simulating risk mitigation planning.
Day Three: Institutional AI Governance Structures
- Elements of effective AI governance.
- Decision-making frameworks in ethical AI.
- Building interdisciplinary AI oversight teams.
- Customizing governance models for local institutions.
- Monitoring dashboards for ethical KPIs.
- Setting up internal review boards: roles and mandates.
Day Four: Tools and Techniques for Ethical Oversight
- How to conduct an Ethical Impact Assessment (EIA).
- Introduction to Explainable AI (XAI) principles.
- Evaluating data quality and training set fairness.
- Detecting bias in machine learning pipelines.
- Drafting internal AI use policies and charters.
- Scenario walkthrough: Emergency intervention in biased AI output.
Day Five: Final Evaluation and Institutional Application
- Recap and synthesis of course content.
- Full case study presentation and group analysis.
- Hands-on simulation: Policy implementation roadmap.
- Common institutional challenges and mitigation tactics.
- Ethics proficiency test and feedback.
- Drafting your organization’s AI ethics action plan.
Why Attend this Course: Wins & Losses!
- Gain a deep understanding of ethical challenges in AI.
- Build competencies in risk assessment and compliance.
- Increase institutional readiness for global regulation.
- Equip yourself to influence strategic decision-making.
- Use advanced tools for bias detection and ethical auditing.
- Foster stakeholder trust through transparent practices.
- Strengthen cross-functional collaboration on AI projects.
- Receive culturally relevant training contextualized for MENA.
Conclusion
Oversight and ethics are no longer peripheral considerations in AI deployment—they are central to responsible innovation. As organizations across MENA scale up their digital transformation agendas, integrating ethical governance into AI initiatives becomes a strategic necessity.
This course provides more than theory. It offers actionable strategies, global best practices, and institutional frameworks that professionals can immediately apply to strengthen their operations. Whether you are in senior leadership or just beginning your journey in tech governance, this course will empower you to navigate AI’s ethical landscape with clarity and confidence.
