Good Academic Practice When Using Generative AI
When you use generative AI in your studies, you must follow the general requirements for academic integrity: honesty, transparency, and responsibility. Check out DTU’s Code of Honour (link further down on the page). This means that you must not present anything as your own work if it is not.
What should you do?
Be transparent about your use of generative AI. You must ensure that it is obvious to the reader where and how generative AI has been used in your work.
Document the use in your assignment
For example, you can include GenAI prompts and responses in an appendix or in the methodology section, so it is clear what has been generated and what is your own analysis. If you are unsure how documentation should be done in a specific course, ask your teachers.
Always use your own judgment
When generative AI contributes text, ideas, or structure to your written work, you must be able to assess, explain, and justify the contributions in relation to your academic knowledge - it is not sufficient simply to copy GenAI’s output.
Generative AI is not an academic source in itself
A generative AI model is not an original source, like a book or an article. You therefore cannot cite GenAI as a source for facts or theories but must instead find the original sources behind the information.
DTU's code of honour
This page is inspired by Aalborg University’s page on generative AI for students. Generative AI has been used in the preparation of this page.
