An Interactive 5-Day Training Course

Artificial Intelligence (AI) Ethics, Regulations & Compliance

Ensuring Responsible, Transparent, and
Compliant AI Across the Enterprise

Artificial Intelligence (AI) Ethics, Regulations & Compliance
2026
Venue
Date
Fee
Paris - France
12-16 Oct 2026
$5,950
Milan - Italy
23-27 Nov 2026
$5,950
London - UK
07-11 Dec 2026
$5,950

Course Overview

This 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

Training Outline

DAY 1: 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
DAY 2: 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
DAY 3: 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
DAY 4: 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
DAY 5: 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
Certificates
  • On 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 Sponsor, one CPE credit is granted per 50 minutes of attendance
Accreditation

GLOMACS is registered with NASBA as a sponsor of Continuing Professional Education (CPE) on the National Registry of CPE Sponsors. NASBA 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.learningmarket.org.

All Training Seminars delivered by GLOMACS by default are eligible for CPE Credit.

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About GLOMACS

About Saudi Glomacs

At Saudi GLOMACS, we specialize in delivering world-class training courses in Saudi Arabia and across various international locations. Our training courses are tailored to meet the unique demands of Saudi Vision 2030 and the Human Capability Development Program, focusing on empowering Saudi citizens and enhancing workforce skills. We offer diverse courses spanning leadership, management, engineering, and technical disciplines to cultivate expertise and drive professional growth. Our flexible learning options—whether in-person, online, or in-house—ensure accessibility and convenience for individuals and organizations alike.

With over 30+ years of experience through the GLOMACS global network, we are committed to delivering innovative, results-driven training solutions. Our expert instructors combine industry knowledge with dynamic teaching methods, fostering practical skill development and long-term career success. By choosing Saudi GLOMACS, you're investing in personal excellence and contributing to the Kingdom’s sustainable economic growth and vision-driven transformation.

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