Artificial Intelligence (AI) Ethics, Regulations & Compliance

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