DE

Discussionround of IC D2MCM - WG AI Literacy

“AI Guidelines at HU Berlin”, November 2026

When: 06.11.2026
Where: Online – [Access link]
Registration at: DFN-Buchungsliste

How are generative AI tools changing teaching, learning, and academic work, also for us at HU? The discussion forum “Teaching, AI and I” has already addressed this question in a first round. Instructors, Students, and staff from various subjects and institutions discussed new teaching and learning formats, Examinations, assessment, AI Literacy, as well as the responsibility of instructors and universities.

Discussants from Teaching, Research, and university organization provide short impulses during the 1h event and bring in different Perspectives. Subsequently, the audience is invited to ask Questions and share their own Experience.
Guiding Questions for the discussion:

  • Which task does a Guideline on the Usage of AI within the entire University have, and what can it achieve at best?
  • How sensible are stricter or more open specifications?
  • Do you understand a Guideline on the Usage of AI also as a call to Instructors and researchers to integrate generative AI Research Tools into their work?
  • How can it be carried into the faculties and Institute?
  • What are Challenges in reconciling such a university-wide Guideline with the Your examination regulations of your respective Institute?
  • To what extent does a Guideline on AI actually call for or encourage coordination among Institute regarding Examinations and assessment criteria?

“AI and Examinations. Which Examination Formats and Subjects”, January 2027

When: 22.01.2027
Where: Online – [Access link]
Registration at: DFN-Buchungsliste

We discuss the HU Guideline on the Deployment of AI in Teaching, its consequences for Examination Formats, review and Assessment Procedures. In doing so, we would like to focus particularly on the examination subjects and formats in the Geistes, Culture, and Social Sciences.

The Subjects and Methods in these subjects range, for example, from hermeneutic analysis of cultural artifacts such as texts and images, statistical evaluation of surveys, measurements, and corpus data to experiments on reaction times, pronunciation, or perceptions. Just as varied are the use of newer examination formats such as poster presentations, take-home exams, and code-books alongside classical term papers, oral examinations, and written exams. The following questions set an initial framework for our Discussion Forum “Teaching, AI, and Me”:

  • How do the scope for action and responsibility regarding the Usage of AI in Examination Formats for Instructors as well as Students differ or change in view of the AI Guideline in the Teaching Area?
  • How can Instructors and Students ideally coordinate the Usage of AI in Examinations together?
  • Which approaches and Experience have already proven effective in Handling AI in Examinations in the Geistes, Culture, and Social Sciences?
  • Which Examination Formats are better suited to effectively and transparently assess competencies for Students?

In Focus are further: the adaptation of traditional Assessment Procedures (e.g., suitability, validity of learning outcomes) and transparency in Handling AI in Examination Formats (e.g., referencing and purposes of use), as well as the Further Development of examinations from a didactic perspective (e.g., also competence models).

“Deployment of AI in Teaching - Practical Examples”, February 2027

When: 05.02.2027
Where: Online – [Access link]
Registration at: DFN-Buchungsliste

Artificial Intelligence is changing university teaching and opening up new possibilities for instructors and students. We would like to discuss how teaching practice has already been changed by AI, where its limits lie, and which developments can be expected for the coming years. In doing so, we consider the potentials and challenges of the deployment of AI from three perspectives: past, present, and future.

In focus are particularly the subjects and teaching preparation as well as the design of courses and teaching and learning materials. We would like to discuss the following questions:

  • How does AI change our subjects on the one hand and teaching preparation on the other?
  • What tasks can now be supported by AI?
  • How has the design of courses, the creation and further development of teaching and learning materials, or the handling of task descriptions changed?
  • And which AI applications have proven themselves particularly well in your own teaching – which experiences were less convincing?

The focus is on concrete experiences from teaching practice. Based on short practical examples, we would like to exchange views on which areas the deployment of AI can add value and where critical examination or conscious renunciation makes sense. For example, it can be shown how AI can be used in the development of teaching materials, in the formulation and differentiation of task descriptions, or to support individual learning processes. We also address how the own teaching profile has changed in the past years through the deployment of AI.

Finally, the gaze is directed towards expected changes in teaching in the coming years, such as roles, teaching formats, and learning processes in the coming years.

The event is explicitly designed as a practice and exchange format. At the center are not general AI theories, but concrete experiences, examples, and questions from university teaching. It offers space to contribute your own experiences, learn from each other, and jointly discuss perspectives for a reflective and responsible deployment of AI in teaching.