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AI Literacy in Practice: Using AI Safely, Effectively and Responsibly under the EU AI Act

Artificial intelligence is increasingly used in everyday work to search, summarize, draft, classify, support decisions, and automate routine tasks. Yet many employees use AI systems without a clear understanding of what these systems do, where their limits lie, what risks they create, or what responsibilities arise under the EU AI Act.

AI systems, and especially generative AI, can produce convincing but incorrect outputs, reflect hidden biases, expose confidential information, create legal or compliance risks, or lead to overreliance in situations where human judgment remains essential. For organizations, AI literacy is therefore not only a matter of productivity, but also of safe, responsible, and compliant use.

In this half-day workshop, AIQ provides a practical introduction to AI literacy in line with the obligations of Article 4 of the EU AI Act. Participants learn what AI is, how generative AI works at a basic level, where it is useful, where its limits are, and how to use it responsibly in day-to-day professional settings. The session explains the key expectations around risk awareness, human oversight, responsible prompting, and the critical review of AI-generated outputs.

Through practical examples and short guided exercises, participants learn how to recognize typical AI failure modes, formulate better prompts, assess AI outputs more critically, avoid common misuse patterns, and understand their role in the responsible use of AI within their organization.

This training is designed for non-technical and mixed audiences across organizations that use or plan to use AI tools in their daily work. It is particularly relevant for professionals in business functions, administration, HR, communications, procurement, customer support, project management, quality management, compliance, and leadership roles. It is also suitable for organizations seeking to establish a practical and documented AI literacy program as part of their EU AI Act readiness.

 


Participants will learn to: 

  • Understand what AI is and what generative AI can and cannot do

  • Use AI systems more effectively in everyday work

  • Recognize common risks such as hallucinations, bias, confidentiality issues, and overreliance

  • Understand the role of human oversight in AI-assisted work

  • Apply practical good practices for safe and responsible AI use

  • Understand what AI literacy under Article 4 of the EU AI Act means in practice for organizations and staff


Agenda

13:00  

Welcome & Introduction


 Why AI literacy matters now

  • AI in everyday work: opportunities, limits, and responsibility
  •  Why the EU AI Act makes AI literacy a practical organizational issue

13:20 

What AI is, and what generative AI does
  • A simple explanation without technical jargon
  • Difference between traditional software, predictive AI, and generative AI
  • What generative AI does well, and why it can still fail
  • Common misconceptions about “understanding,” “reasoning,” and “truth”

14:00 

Effective and safe use of AI in everyday work
  • Typical workplace use cases: drafting, summarizing, searching, translating, structuring information
  • What makes prompts more effective
  • How context, instructions, and constraints improve results
  • Good habits for checking and refining AI output

14:40 

Risks, limits, and human oversight
  • Hallucinations and plausible-sounding false outputs
  • Bias and problematic suggestions
  • Confidentiality, privacy, and sensitive information risks
  • Overreliance and automation bias
  • Why human review remains essential

15:20 

Coffee break 

15:30 

AI literacy under Article 4 of the EU AI Act
  • What Article 4 requires in practice
  • Who needs AI literacy, and why literacy should be role-based
  • What organizations should be able to demonstrate
  • Linking literacy, governance, and responsible AI adoption

16:10 

Practical exercises and discussion
  • Recognizing weak vs strong prompts
  • Reviewing AI-generated content for quality and risk
  • Spotting problematic outputs and hidden assumptions
  • Group discussion: what responsible AI use looks like in our context

16:45 

Key takeaways and closing discussion
  • What participants should remember in daily practice
  • Common pitfalls and how to avoid them
  • Final questions and discussion

17:00 

End of the workshop 


The presentation language is English.
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Trainer 

Dr. Simone Amoroso is Head of Technology at AIQ, where he works on engineering approaches for trustworthy, testable and secure AI systems. With a background in experimental high-energy physics (PhD) and extensive research experience, he brings a strong quantitative mindset to AI development, safety and evaluation. 

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About us

To improve the quality of AI systems and make it transparently verifiable, the State of Hesse and the VDE Verband der Elektrotechnik Elektronik Informationstechnik e. V. founded the AI Quality & Testing Hub GmbH (AIQ). AIQ enables companies and organizations to develop, validate, and continuously enhance quality characteristics of artificial intelligence (AI). This ensures that AI applications are trustworthy – and that innovations reliably reach the market.

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Terms of participation

The event is limited for 5 to 20 participants. If the minimum number of participants is not reached one week before the event begins, we reserve the right to cancel it. For organizational reasons, registration for our events typically closes 7 days before the event date. Thank you for your understanding.

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