The short online workshop aims to demystify AI, explore its real-world implications, and help professionals use it responsibly and confidently in their roles. The session focuses on understanding - not coding - while linking concepts to practical workplace realities. This is offered as an introduction to AI awareness.
Setting the Scene: AI in Our World
- Interactive poll: “Where do you already encounter AI?”
- Group discussion: Perceptions and myths about AI
- Trainer mini-input: “What AI really is” — a human-centred definition
- Examples: Recommendation systems, chatbots, fraud detection
How AI Works – The Human Explanation
- Analogy-based explanation of:
- Data, algorithms, and pattern learning
- Machine Learning (supervised vs unsupervised)
- Neural networks explained visually (“digital brain” analogy)
- Short exercise: Participants match “AI in action” scenarios with underlying methods (e.g., “spam filter → supervised learning”).
AI in the Workplace: Opportunities and Boundaries
- Case examples: AI in HR, finance, customer service, and operations
- Discussion: “Automation or augmentation — what does AI mean for your role?”
- Small-group activity: Identify an area in your team where AI could support human decision-making (not replace it)
Ethics and Accountability in AI
- Trainer input: Bias, fairness, and accountability explained through real cases (e.g., facial recognition, hiring algorithms)
- Reflection exercise: “Who’s responsible when AI gets it wrong?”
- Explore frameworks: fairness, transparency, and explainability
- Link to GDPR and data responsibility
Using AI Responsibly – Personal Toolkit
- Quick audit: Where participants currently use AI (e.g., MS Copilot, ChatGPT, CRM tools)
- Checklist: Questions to ask before using AI outputs (accuracy, bias, source, privacy)
- Discussion: Balancing efficiency with integrity
Next Steps: Staying Curious
- Trusted resources for AI learning and monitoring (EU AI Act updates, credible blogs, courses)
- Final reflection: “What one action will you take after today?
By the end of this session, participants will be able to:
- Explain key concepts and types of AI in clear, everyday language.
- Distinguish between automation and augmentation in workplace contexts.
- Analyse common ethical challenges in AI use (bias, transparency, data privacy).
- Evaluate AI applications relevant to their profession or sector.
- Formulate personal or team actions to engage with AI responsibly and effectively.