| Date | Venue | Fees | |
|---|---|---|---|
| 24 - 28 Aug 2026 | Amsterdam - The Netherlands | $ 5,950 | |
| 20 - 24 Sep 2026 | Riyadh - Saudi Arabia | $ 5,950 | |
| 12 - 16 Oct 2026 | Paris - France | $ 5,950 | |
| 23 - 27 Nov 2026 | Milan - Italy | $ 5,950 | |
| 06 - 10 Dec 2026 | Doha - Qatar | $ 5,950 | |
| 07 - 11 Dec 2026 | London - UK | $ 5,950 | |
| 03 - 07 May 2027 | London - UK | $ 5,950 | |
| 23 - 27 Aug 2027 | Amsterdam - The Netherlands | $ 5,950 | |
| 20 - 24 Sep 2027 | Riyadh - Saudi Arabia | $ 5,950 | |
| 11 - 15 Oct 2027 | Paris - France | $ 5,950 | |
| 22 - 26 Nov 2027 | Milan - Italy | $ 5,950 | |
| 06 - 10 Dec 2027 | London - UK | $ 5,950 |
Introduction
This GLOMACS Artificial Intelligence (AI) Ethics, Regulations & Compliance training course provides a comprehensive and practical foundation for governing AI responsibly across modern organisations. As AI systems become embedded in decision-making, operations, customer interactions, and automated workflows, leaders must ensure these technologies are transparent, safe, fair, and aligned with emerging global standards. This training course addresses the ethical, regulatory, and compliance challenges experienced by organisations adopting advanced AI-driven solutions.
Through real-world examples, global regulatory updates, ethical governance models, and organisational governance practices, participants will gain clarity on how to design, evaluate, deploy, and monitor AI systems responsibly. The training course focuses on addressing algorithmic bias, maintaining accountability in automated decisions, ensuring transparency and explainability, implementing governance controls, and complying with international AI regulations such as the EU AI Act, NIST AI Risk Management Framework, OECD AI Principles, and regional data protection laws.
- Core principles of ethical and responsible AI
- Understanding global AI regulations and compliance expectations
- Governance frameworks for safe, transparent, and accountable AI use
- Identifying and mitigating algorithmic bias and unintended harm
- Designing compliant AI processes that protect people, data, and organisations
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
Training 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.
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
Who should Attend?
This GLOMACS 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
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
- Upon successful completion of this training course, GLOMACS Certificate will be awarded to the delegates. Continuing Professional Education credits (CPE): In accordance with the standards of the National Registry of CPE Sponsors, one CPE credit is granted per 50 minutes of attendance
Endorsed Education Provider