Artificial Intelligence (AI) Ethics, Regulations & Compliance - Virtual Learning
Course Methodology
This training course uses an applied and interactive methodology that combines expert-led discussions, ethical evaluation exercises, regulatory interpretation, governance scenario analysis, and guided reflection. Participants will explore practical cases of AI failures, review global regulatory frameworks, evaluate risk controls, and design actionable compliance measures aligned with their organisational context.
Course Objectives
At the end of this training course, you will learn to:
- Understand global AI ethics principles and regulatory requirements
- Apply governance frameworks for responsible AI implementation
- Identify and mitigate algorithmic bias, fairness issues, and unintended impacts
- Evaluate AI risks and develop transparent, accountable processes
- Develop compliance strategies aligned with organisational and legal obligations
Target Audience
This Gulf Rowad Artificial Intelligence (AI) Ethics, Regulations & Compliance training course is ideal for professionals overseeing AI adoption, regulatory compliance, and responsible technology deployment, including:
- Compliance and Risk Management Professionals
- AI, Data, and Digital Transformation Leaders
- IT Governance and Audit Professionals
- Legal, Privacy, and Data Protection Officers
- Ethics Officers and Policy Advisors
- Managers involved in AI-driven decision-making
Target Competencies
Organisational Impact
Organisations will gain stronger AI governance and compliance maturity through:
- Reduced legal, ethical, and reputational risks
- Stronger alignment with global AI regulations and standards
- Transparent and accountable AI implementation processes
- Reduced algorithmic errors and unintended consequences
- Enhanced trust among customers, employees, and stakeholders
- Improved readiness for future AI audits and regulatory assessments
Personal Impact
Participants will strengthen their professional and ethical decision-making capability through:
- Advanced understanding of AI compliance and regulatory frameworks
- Increased ability to identify and mitigate AI risk and bias
- Greater clarity in interpreting ethical implications of automated systems
- Improved skills in designing transparent and explainable AI workflows
- Enhanced confidence in shaping organisational AI governance
- Strengthened credibility as an ethical AI stewardship professional
Course Outline
Foundations of Ethical and Responsible AI
- Understanding the need for AI ethics in modern organisations
- Core principles: fairness, transparency, accountability, and human oversight
- Ethical risks across machine learning, automation, and predictive analytics
- Distinguishing between ethical AI, lawful AI, and trustworthy AI
- Introduction to global AI ethics frameworks (OECD, UNESCO, NIST)
- Challenges of implementing ethical principles in real-world environments
Global AI Regulations and Emerging Compliance Standards
- Overview of global AI regulatory landscape
- Deep dive: EU AI Act, classification levels, and obligations
- Understanding NIST AI Risk Management Framework
- AI-related GDPR considerations: data minimisation, profiling, consent
- Requirements for transparency, documentation, and human oversight
- Preparing for future regulatory developments across regions
AI Risk, Bias, Fairness, and Mitigation Strategies
- Identifying sources of bias in datasets, models, and deployment
- Evaluating fairness metrics and model performance
- Assessing harm, unintended consequences, and discriminatory outcomes
- Model transparency and explainability expectations
- AI risk assessment techniques and risk scoring
- Implementing mitigation controls across the AI lifecycle
Designing AI Governance and Compliance Systems
- Creating an organisational AI governance structure
- Defining roles, responsibilities, and accountability lines
- Documentation, audit trails, and lifecycle monitoring
- Establishing model validation and approval processes
- Responsible use policies, escalation procedures, and oversight controls
- Embedding compliance into procurement and third-party AI systems
Building a Responsible AI Culture and Future Readiness
- Developing internal ethical standards and behaviour guidelines
- Training and upskilling employees for AI literacy and governance
- Managing change: communicating risks, responsibilities, and expectations
- Integrating AI governance with corporate strategy and ESG commitments
- Preparing for internal and external AI audits
- Creating a long-term roadmap for responsible AI maturity
2026 Schedule & Fees
| Date | City | Language | Price | Action |
|---|---|---|---|---|
| 28 Jun - 02 Jul, 2026 | Online | English | USD 2,000 | Book |
| 28 Jun - 02 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 05 Jul - 09 Jul, 2026 | Online | English | USD 2,000 | Book |
| 05 Jul - 09 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 12 Jul - 16 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 12 Jul - 16 Jul, 2026 | Online | English | USD 2,000 | Book |
| 19 Jul - 23 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 19 Jul - 23 Jul, 2026 | Online | English | USD 2,000 | Book |
| 26 Jul - 30 Jul, 2026 | Online | English | USD 2,000 | Book |
| 26 Jul - 30 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 02 Aug - 06 Aug, 2026 | Online | English | USD 2,000 | Book |
| 02 Aug - 06 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 09 Aug - 13 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 09 Aug - 13 Aug, 2026 | Online | English | USD 2,000 | Book |
| 16 Aug - 20 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 16 Aug - 20 Aug, 2026 | Online | English | USD 2,000 | Book |
| 23 Aug - 27 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 23 Aug - 27 Aug, 2026 | Online | English | USD 2,000 | Book |
| 30 Aug - 03 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 30 Aug - 03 Sep, 2026 | Online | English | USD 2,000 | Book |
| 06 Sep - 10 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 06 Sep - 10 Sep, 2026 | Online | English | USD 2,000 | Book |
| 13 Sep - 17 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Sep - 17 Sep, 2026 | Online | English | USD 2,000 | Book |
| 20 Sep - 24 Sep, 2026 | Online | English | USD 2,000 | Book |
| 20 Sep - 24 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 27 Sep - 01 Oct, 2026 | Online | English | USD 2,000 | Book |
| 27 Sep - 01 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 04 Oct - 08 Oct, 2026 | Online | English | USD 2,000 | Book |
| 04 Oct - 08 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 11 Oct - 15 Oct, 2026 | Online | English | USD 2,000 | Book |
| 11 Oct - 15 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 18 Oct - 22 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 18 Oct - 22 Oct, 2026 | Online | English | USD 2,000 | Book |
| 25 Oct - 29 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 25 Oct - 29 Oct, 2026 | Online | English | USD 2,000 | Book |
| 01 Nov - 05 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 01 Nov - 05 Nov, 2026 | Online | English | USD 2,000 | Book |
| 08 Nov - 12 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 08 Nov - 12 Nov, 2026 | Online | English | USD 2,000 | Book |
| 15 Nov - 19 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 15 Nov - 19 Nov, 2026 | Online | English | USD 2,000 | Book |
| 22 Nov - 26 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 22 Nov - 26 Nov, 2026 | Online | English | USD 2,000 | Book |
| 29 Nov - 03 Dec, 2026 | Online | English | USD 2,000 | Book |
| 29 Nov - 03 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 06 Dec - 10 Dec, 2026 | Online | English | USD 2,000 | Book |
| 06 Dec - 10 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Dec - 17 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Dec - 17 Dec, 2026 | Online | English | USD 2,000 | Book |
| 20 Dec - 24 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 20 Dec - 24 Dec, 2026 | Online | English | USD 2,000 | Book |
| 27 Dec - 31 Dec, 2026 | Online | English | USD 2,000 | Book |
| 27 Dec - 31 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
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