How to deal with generative AI in UNIGIS studies
Generative artificial intelligence (AI) systems offer a wide range of potential for studying and teaching, but also new challenges. Important questions about studying and using generative AI will be answered on this website. You should also take a look at our guideline to dealing with generative AI.
It is important to us that, despite or even with generative AI systems, you can manage your learning processes autonomously and secure your learning progress. Ultimately, the intellectual process and responsibility for the content produced must always remain with humans and must not be outsourced to a machine. Aleksandr Tiulkanov’s decision tree helps with this:
Based on Aleksandr Tiulkanov (2023): Is it safe to use ChatGPT for your task? Available online (© https://creativecommons.org/licenses/by/4.0/deed.de)
What exactly is generative artificial intelligence?
The most important questions and answers
Here you will find questions and answers on the topic, which, in addition to the guidelines for dealing with generative AI, provide an initial orientation for the use of generative AI systems in UNIGIS studies. Please note that the available systems are constantly evolving and the situation is currently quite dynamic. It is therefore possible that this guide will also have to be adapted. Feel free to check back here, stay critical and use your common sense more than ever.
Status: 30.09.2024
Further Ressources
- Microsoft Copilot (PLUS offers students secure access to Microsoft Copilot without separate registration and data feedback – registration takes place via the PLUS account.)
- The art of the prompt: How to get the best out of generative AI
- Recommendation on the Ethics of Artificial Intelligence