There are many exciting developments happening in the field of Artificial Intelligence (AI). What implications does this have for education at Erasmus University Rotterdam (EUR)? On this page, you will find an overview of relevant information and developments within our university. This information has been gathered from contributions by experts, users, and task forces. AI has been on everyone's mind for a while now, with developments following each other at lightning speed. For this reason, this page will be updated regularly.

Generative AI

Generative AI is a branch of AI that focuses on developing algorithms and systems capable of creating new content, such as images, music or text. Unlike traditional AI systems that are programmed to perform specific tasks, generative AI algorithms can learn from user input and independently generate content similar to human creations. This is done, for example, through machine learning, deep learning or neural networks. Generative AI has many applications, including the development of chatbots, video games, virtual assistants and more. ChatGPT is now a well-known example of this, but numerous other examples can be found.

Robot in front of a laptop

How to use generative AI responsibly

Practical information for teachers

The information under this heading was collected by the ESE Learning and Innovation Team and the EUR task force AI. Given the rapid pace of developments, we cannot guarantee that information is always fully up-to date. Updates will be made when necessary. If you have any suggestions or updates to this page, please email the Community for Learning & Innovation. For any school-specific questions, please reach out to your Learning & Innovation teamOpens external

Practical information for students and PhD candidates

Use of generative AI as an EUR student

Learn about the ethical and effective use of GenAI at EUR with this e-module for students.

AI generated image of an astronaut in a neon library

Use of generative AI as a PhD candidate at EUR

Explore GenAI guidelines, understand its limitations, and learn ways to use it positively.

AI generated image of a robot PhD in a large auditorium

Contact information

  • Community for Learning & Innovation
    Contact the CLI if you would like to share your expertise and experiences around AI, and if you have any questions or additions to this page.
    Email address
  • Learning & Innovation team
    Contact your faculty's Learning & Innovation team if you have specific questions about using AI within your teaching or faculty.

Resources

The information on this page is collected by the EUR Task Force Generative AI & Education. Last update: 14 May 2025.

Funded by the European Union NextGenerationEU