Day 1 (15 June 2026) - WorkshopsMonday, 15 June 2026 - AT (Arabian Time, GMT+03:00)

Foundations of AI and GenAI

• Definitions, abbreviations, and key concepts
• Fundamental principles of AI and GenAI
• Understanding the global, regional, and national landscape
• The significance of AI and GenAI in today’s world

The Impact of AI and GenAI on HR

• Exploring the impact of AI on the HR profession
• Case studies from regional and global perspectives
• Preparing for change and embracing AI in HR

Responsible Use of AI in HR

• Understanding AI regulation and governance
• Developing an AI policy for your organisation
• Ethical considerations in the use of AI

Morning Learning Sessions

• Build a clear understanding of enterprise AI strategy and competitive positioning
• Define an AI vision aligned with your organisation’s priorities
• Explore methods to identify and evaluate AI opportunities across business units

Interactive Knowledge Check (Individual Participation)

Take part in a short, instructor-led discussion to test your understanding of the morning’s first concepts. You will respond to rapid questions, share insights, and compare approaches with your peers, reinforcing key ideas through participation rather than written answers.

Continued Morning Learning

• Learn how to balance quick wins with long-term capability building
• Examine approaches for engaging stakeholders and setting success metrics

Interactive Team Challenge

Join a lively, team-based challenge where groups respond to scenario-style questions drawn from the morning’s topics. This fast-paced, interactive session encourages collaboration and discussion, helping you consolidate understanding before lunch.

Lunch Break

Afternoon Practice & Collaboration

• Conduct an AI Maturity Baseline Assessment using the CXO Transform Custom GPT to evaluate leadership, data, culture, and infrastructure maturity
• Begin developing your AI Strategy Document with templates, datasets, and IntelliPrompts
• Collaborate with peers to review and refine outputs, supported by the AI Discussion Partner
• Reflect on how maturity insights shape readiness discussions for Day 2

Optional Evening Homework

You may complete a short online knowledge test to reinforce Day 1 concepts and prepare for the final certification exam.

Theme: Explore how Artificial Intelligence creates value, shapes competitive advantage, and demands responsible leadership in its application.

Session 1: Artificial Intelligence: apabilities,Boundaries and Business Impact

• Distinguishing AI from traditional automation and software
• How intelligent systems learn from data, recognise patterns, and refine outcomes?
• Core categories of AI: narrow vs. general, supervised vs. unsupervised learning
• Real-world applications across sectors — from customer experience to risk management
• The rapid rise of generative AI, large language models, and intelligent agents
• How emerging technologies are reshaping business models, operations, and service delivery?
• Recognising the limits of AI: hallucination, bias, over-reliance, and human fallibility
• A visual journey through AI’s evolution — from expert systems to generative intelligence – this looks good

Session 2: The Strategic Landscape — Opportunity and Challenge

• Where AI creates enterprise value:productivity, personalisation, precision, and scale?
• The societal implications of adoption: misinformation, accountability, job design
• The environmental cost of computation and data storage
• The leader’s role in defining strategic boundaries for responsible innovation

Session 3: Principles of Responsible AI

• Embedding human oversight and governance into intelligent systems
• Achieving transparency and explainability to strengthen trust
• Balancing innovation ambition with organisational risk appetite
• How responsible AI safeguards brand integrity and long-term performance?

Session 4: Ethics as the Cornerstone of Trust

• The FAST principles – Fairness, Accountability, Sustainability, and Transparency
• Lessons from ethical success and failure in real-world deployments
• Building stakeholder and societal confidence through ethical leadership – again, looks really good

Activities:


1. The Strategic Landscape: Participants research one good and one negative story about AI
2. Principles of Responsible AI: From a scenario, groups discuss governance/accountability - who is responsible?
3. The Red Line: From given scenarios, participants discuss at which point AI crosses the line from useful to unethical

• Understanding how AI and IoT connect to shape experiences
• Defining the role of data and automation in smart systems
• The principles of human-centred intelligent design
• Vision 2030’s digital and smart nation context