Course Content
AI Driving Licence
Welcome to the training "AI Driving Licence" – your guide to the working life of the future!
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Introduction
Part A – The Basics and Responsibility
Here we lay the theoretical foundation. We explain in detail what generative AI actually is and how it can elevate your productivity. We also look at the indispensable traffic rules – from information security and copyright to the EU AI Act – so that you can navigate safely and legally.
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Introduction to Generative AI
Let AI Elevate Your Working Day
Navigating Safely in the AI Landscape
The Human at the Helm
The EU AI Act
AI-Driven Security Threats (Social Engineering)
Copyright and Intellectual Property in the AI Age
Sustainability and Environmental Impact
Summary of Part A
Part B – AI in Practice
In this part, we open the bonnet. We explain how the technology works in an understandable way, compare the major AI assistants, and teach you how to mentally and practically implement AI in your daily processes, with your critical thinking as a compass.
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Understanding the Technology
Getting Started with Generative AI
Your New Digital Colleague
Getting Started with Your AI Assistant
From Words to Action
Critical Thinking
Summary of Part B
Part C – Prompts
Here we put our hands on the steering wheel. We dive deep into the craft of communicating with the machine, so-called ”prompting”. You will receive proven frameworks for text, methods for analysing complex documents multimodally, and techniques for directing fantastic AI images.
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Welcome to the Prompt Guide
6 Steps to the Perfect Prompt
Creating Images with AI
Working Multimodally (Beyond Text and Image)
Next-Level Prompting (Contextual Examples and Iteration)
Summary of Part C
Assessment & Continuous Professional Development
Protected: AI Driving Licence

Copyright and Intellectual Property in the AI Age

When you use an AI to create a punchy headline, a beautiful photograph for a presentation, or a piece of programming code, a critical question quickly arises: Who actually owns the result? Is it you who wrote the prompt, the company that owns the AI model, or perhaps the millions of people whose texts and images the AI has been trained on? Understanding the basics of copyright and intellectual property is an essential part of your AI Driving Licence, since the legislation in this area is currently undergoing its greatest transformation in modern times.

 

 

In many countries and within the EU, copyright is based on the principle of “threshold of originality”. This means that a work must be the result of a human being and their personal, creative endeavour to be protected by copyright law. A machine, regardless of how advanced it is, cannot in a legal sense be an “author”. This creates an interesting and sometimes problematic situation: content that is generated entirely by an AI currently often lacks copyright protection. If you ask an AI to create a logo for your new company, you may discover that it is difficult to stop a competitor from using a similar image, as the logo was not created by a human hand.

 

Another perspective is the risk of infringing upon the rights of others. Since AI models are trained on massive amounts of data from the internet, there is a risk that the AI generates something that is too close to an already existing, copyrighted work. If you ask the AI to “draw a picture in exactly the same style as a living, well-known artist”, you are moving into a grey area where legal precedent is still taking shape.

 

To navigate this safely, you should view AI-generated material as a fantastic foundation or raw material. The more you edit, alter, and add your own human touch to what the AI produces, the stronger your claim becomes that it is indeed your own work. For professional use, it is also important to read the terms of service for the specific AI service you are using. Many paid services (Enterprise versions) grant you the right to use the results commercially, but they can rarely guarantee that the content is unique or that it cannot be legally challenged. The golden rule is to use AI to accelerate your creativity, but to always inject enough human judgement and unique processing for the result to become your own.

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