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

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