KI-Kompetenz – Grundlagen

Was ist KI-Kompetenz – Grundlagen?

Your company is rolling out AI tools across departments, and the EU AI Act requires the company to ensure that staff who work with AI have sufficient AI literacy. In this exercise, you will learn what AI literacy means in practice - from understanding how AI generates responses to recognizing hallucinations and data privacy risks. Experience firsthand how a confident AI answer can be completely fabricated, and discover why pasting sensitive data into a chatbot could expose your company to serious consequences.

Was Sie lernen in KI-Kompetenz – Grundlagen

• Die KI-Kompetenz-Anforderung aus Artikel 4 der EU-KI-Verordnung verstehen und nachvollziehen, warum sie rechtlich verpflichtend ist
• KI-Halluzinationen erkennen und verstehen, warum KI-generierte Inhalte stets eigenständig zu verifizieren sind
• Die Risiken der Weitergabe sensibler Unternehmensdaten an KI-Tools erkennen
• Praktische Verifikations-Strategien anwenden, bevor man sich im Berufsalltag auf KI-generierte Informationen verlässt

KI-Kompetenz – Grundlagen — Trainingsschritte

1. Eine neue gesetzliche Anforderung

   The EU AI Act's Article 4 requires providers and deployers to take measures to ensure, to their best extent, a sufficient level of AI literacy among the staff who work with AI systems. This is not optional guidance - it has applied since February 2, 2025. Organizations must ensure their staff understand what AI can and cannot do, and how to use it responsibly. Nextera Solutions is taking this seriously. All employees must complete AI literacy training before using any of the company's new AI tools.

2. E-Mail von der IT

   Eine E-Mail von der IT-Abteilung trifft ein, die den KI-Tool-Rollout und die verpflichtende Schulung ankündigt.

3. KI-Kompetenz-Schulung

   Alice folgt dem Link in der E-Mail, um das KI-Kompetenz-Schulungsportal zu öffnen. Die Schulung behandelt, was KI ist, wie sie auf hoher Ebene funktioniert und was die EU-KI-Verordnung von Mitarbeitenden erwartet.

4. Den KI-Assistenten testen

   Now that Alice has reviewed the basics, it is time to see AI in action. She opens OpenClaw on her second machine and asks it a factual question to test how it responds. The AI produced a confident answer with a specific citation - but none of it was real. This is one of the most important concepts in AI literacy.

5. Halluzinationen erkennen

6. Die Grenzen von KI verstehen

   Alice kehrt zum Schulungsportal zurück, um den Abschnitt zu KI-Grenzen durchzugehen. Zu verstehen, was KI nicht kann, ist genauso wichtig wie zu wissen, was sie kann.

7. Die Datenschutz-Falle

   Alice switches back to OpenClaw and asks it to help with a real work task - analyzing confidential project data. The AI's response reveals a common and dangerous pattern. The AI helpfully offered to analyze Alice's confidential project data - but accepting that offer could have serious consequences.

8. Datenschutz in der Praxis

9. Die wichtigsten Punkte

   AI literacy is not just a checkbox exercise - it is a legal requirement under the EU AI Act and a practical skill for working safely with AI systems. Here is what to remember: AI can hallucinate: AI systems generate text based on patterns, not facts. They can produce confident-sounding but completely fabricated information, including fake citations, statistics, and sources. Always verify AI outputs independently before relying on them. Always verify outputs: Before using any AI-generated information in your work, search for the original source. If the AI cites a specific report or statistic, confirm it exists and is accurate. Protect sensitive data: Never paste confidential company data, personal information, or credentials into any AI tool without first checking the data processing agreement and your organization's AI usage policy. It is the law: Under Article 4 of the EU AI Act (applying since February 2, 2025), your organization must take measures to ensure that staff working with AI systems have sufficient AI literacy. This is not optional - non-compliance carries regulatory consequences for your organization.