For lecturers
On this page, you will find information and guidelines on how to disclose and document the use of AI technologies in academic writing and research.
- As of March 17, 2025 -
Since generative AI technologies have automated text production and are changing common writing and reading practices in the academic sphere, the question of how to disclose and document AI usage in scientific writing and research processes has become a topic of discussion.
While certain trends are emerging in terms of how to disclose and document AI usage in academic writing, there is still no universal agreement across disciplines on the best approach. Instead, there are currently only guidelines specific to individual fields.
The following information is not intended to be a definitive or binding set of rules. Instead, it aims to provide a starting point for discussion between teachers and students, help reduce uncertainty, and offer a framework for implementing AI disclosure and documentation in academic writing.
Here you will find a compilation of materials relating to the labeling and documentation of AI use academic writing.
The debate about disclosure, documentation and labeling options for AI use in academic writing is in full swing. We have selected interesting resources, which can help you and your students in dealing with the topic.
Here you will find various examples of how major professional associations, publishers, and research funding institutions formulate their guidelines for disclosure and documentation of AI use, and thereby define what is considered scientific integrity within their framework and what is not accepted.
IEEE is a worldwide professional association for professions and scientists in the field of electrical engineering and information technology.
APA is the American Psychological Association. The APA reference style is widely used across many disciplines. Current information and changes can be found in the APA Style Blog.
Springer - a large publishing house with 2,900 magazines and 300,000 books.
Statement by the Presidency of the German Research Foundation (DFG) on the impact of generative models for text and image generation on the sciences and the DFG's funding activities, as of September 2023.