EW goes AI #2 - Open Discussion on the Guidelines for Using Generative AI in Teaching

What does the future of higher education look like in the age of ChatGPT and similar technologies?

On June 24, 2026, a dedicated group of faculty members and staff from the Faculty of Education at TU Dresden gathered for the workshop “Guidelines for Using Generative AI in Teaching” as part of the “EW goes AI” event series. The goal of this productive exchange was to use the results to develop a concrete proposal for faculty-wide guidelines on the use of AI in teaching and examination contexts.

Organized by the Chair of Primary Education / Mathematical Education in collaboration with the Digital Teaching Team of the School of Humanities and Social Sciences, the day focused on orientation, pedagogy, and examination integrity. Following an introductory presentation on the framework conditions and potential content of AI guidelines within the School of Humanities and Social Sciences, participants engaged in discussions and a subsequent drafting phase to address the multifaceted challenges of generative AI in higher education.

Topics discussed included:

• Transparency: Instructors should establish agreements with students regarding AI use at an early stage, while students are required to disclose the use of generative AI in their exam work.

• Declarations of Originality: It was emphasized that modern declarations of originality are both sensible and necessary to promote the conscious use of AI.

• Exam formats: There was a strong call for new, process-oriented exam formats. Product-oriented exams would need to be rethought in order to meaningfully integrate the use of AI.

• AI literacy: The development of skills in working with AI, as well as structured reflection on one’s own use of AI, were identified as key elements.

• Data Protection and Legal Aspects: The content that students and faculty enter into AI systems must be clearly regulated. The focus here is on data protection and academic integrity.

In addition to promoting AI literacy and the desire to further develop traditional exam formats, the discussion focused on identifying best practices and the legal relevance of guidelines. Finally, the importance of a culture of trust, mutual transparency, and a resource-oriented perspective on the topic of AI was emphasized.