Description
This follow-up module is for people who already use AI tools and want a deeper, more critical understanding. It covers how to spot risks such as hallucinations and bias, and how to use AI responsibly in daily work.
What you will learn
- How "real" AI differs from simple automation
- Risks from hallucinations, bias and data protection breaches
- Methods for checking AI-generated content
- How to recognise deepfakes and AI-written text
- Quality assurance when using AI in casework
- EU AI Act risk categories in detail
Format: fact-checking exercises, analysis of real AI errors, breakout group work, and a personal handout
Who it's for: staff with some AI experience. It is especially useful for IT officers, data protection officers and team leads responsible for quality.
Agenda (2 hours)
- Welcome and reflection on Module 1
- AI risks: hallucinations, bias and data protection
- Exercise: fact-checking and spotting AI content
- EU AI Act risk categories and quality assurance
- Q&A and personal take-aways