Event announcement: AI in Study and Teaching
AI in Study and Teaching – Addressing tension fields through an intersectional approach (Please note: the spoken language at the event will be German)
We invite all members of the university to an open discussion on the opportunities, challenges and new perspectives offered by the use of AI in study and teaching.
When: Tuesday, June 2nd, 9:00 - 10:30 am
Where: Audimax
Who: Silke Abendschein, Marlene Pardeller, Daniel Klenke, Franziska Müller
What: Which key competencies are needed for students and lectures to navigat through the digital landscape?
What fields of tensions does AI create in the areas of study and teaching? ?
How can ASH adress these issues?
The event provides a space for exchange, discussion and critical perspectives.
Programme:
09:00 – 09:05 | Check-in
09:05 – 09:20 | Getting started: Highlighting fields of tension
09:20 – 09:50 | Themed tables & Worry Board
Themed table 1 – Studying in times of AI
Design of exams & academic work (inkl. Declaration of Authorship for Academic Works at ASH Berlin and intersektional perspectives: Discrimination-sensitive use of AI & accessible teaching methods)
Themed table 2 – Competence developement and digital literacy
Which key competences are needed regarding to AI and digitalisation in general?
Alongside themed tables throughout the event:
Interaktive Worry Board
Questions, uncertainties, critical perspectives
09:50 – 10:25 | Fishbowl
Discussion of the key findings and tension fields identified at the themed tabels
10:25 – 10:30 | Check-out
The event forms part of the programme organised by the Department of Quality Management and Development in Studies and Teaching (QME SuL) to implement the Learning and Teaching Mission Statement in the summer semester of 2026.
AI - Background, FAQs, Workshops
Since 2024 we have been offering workshops and handouts on AI. Our aim is to adress students and lecturers as well and to provide the opportunity to get access to information across seminars. As well we are happy to receive questions and requests for specific workshops.
The use of AI tools in academic work offers many opportunities, but it also raises significant uncertainties regarding their areas of application and general handling. We have therefore put together a self-study powerpoint to help you gain an initial overview.
Although it is clear that the use of AI will remain an integral part of our study and work processes, we believe it is important to enable a critical assessment and reflection on its application. The aim is to enable you, as users, to make informed decisions about when and to what extent you wish to use which tools in your studies and teaching.
All our work is based on the university’s AI guidelines, which were published in February 2024. You can read them here.
We also provide an overview here of the new Declaration of Authorship, which we helped to draft.
On this page, you will also find our AI-specific workshops and courses for the 2026 summer term. These are updated on an ongoing basis.
We hope you enjoy browsing through our materials. Please feel free to contact us at any time if you have any questions, would like to attend a seminar, or have any requests regarding workshops: servicestelle@ ash-berlin.eu
AI Declaration of Authorship - Guidelines for the Use of Generative Artificial Intelligence (AI) in Academic Papers at Alice Salomon Hochschule Berlin
The AI guidelines and the declaration of authorship were adopted by the Academic Senate on 10 February this year. An article on this subject was published in aliceonline magazine. It can be read here.
We outline the key points below and provide a brief overview and explanation:
Scope:
- The AI Guidelines and the declaration of authorship apply to ALL degree programmes AND the ASH’s furhter education Master courses.
Transitional arrangements
- Students who are currently in the writing phase (having registered their final theses in the winter semester of 2026) may use either the old OR the new declaration of originality
- The new declaration of authorship applies to students who submit an application for permission to undertake their final thesis in the 2026 summer semester
Contents of the Declaration of Authorship and AI-Guidelines
All the points set out in the AI guidelines and the declaration of originality are based on the principle that academic work must be produced independently (§1.1).
Impermissible Applications of AI:
- Textproduction (§1.1). It is not permitted, for example, to use generative AI to produce sections of text, individual chapters, entire texts, research questions or outlines. This rule also applies to paraphrasing, i.e. the summarising and rendering of texts in their own words.
All text included in academic work must be written by the student themselves. - Uploading students academic to generative AI for assassment purposes (§3.2). For data protection reasons, lecturers are not permitted to upload submitted academic papers to generative AI tools.
Permitted Application Areas of AI (§2):
- Research:
Generative AI tools can be used to gather initial ideas, search for introductory literature on a topic, and find inspiration. Please also take a look at the library’s resources on systematic literature research using AI (see our workshops). - Translation:
The translation of texts into another language, using AI tools such as DeepL. Please ensure that you always check all translations for accuracy. - Proofreading:
A formal check for spelling, grammar and punctuation. However, the text must not be altered in terms of style or content. You should therefore always check the output of AI tools to ensure that your text has not changed in terms of content or writing style.
Approval-Required Applications of AI (§4):
These areas of application relate to AI-assisted text generation, which may be approved by the assessors in specific cases.
- Analysis:
AI-assisted analysis and interpretation of data. The aim is to understand patterns, correlations or lines of argument. The insights gained in this way form a basis for further independent work (e.g. when analysing anonymised qualitative or quantitative interviews). MAXQDA already offers AI tools that can support the analysis process. This feature is not yet permanently implemented and can be activated. The use of this feature must, for example, be discussed with the reviewers in advance. - Other Application Areas:
Any areas of application not defined in §§ 2 and 3 must be discussed with the experts.
All areas of application must be documented. This is done by ticking the relevant boxes on the declaration of authorship and listing the tools used. A brief explanation must also be provided as to why the AI tools are being used (e.g. “checking spelling and grammar”).
