TU Berlin has defined AI policies across 11 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. The university prohibits the use of AI tools in coursework unless explicitly permitted by instructors. Students are required to disclose and attribute AI-generated content in their academic work. The university employs detection and enforcement mechanisms for unauthorized AI use. Research-related AI policies address manuscript preparation, data analysis, research ethics. At the institutional level, the university has established guidelines for faculty and staff AI use, data protection and approved AI tools, AI governance strategy.
Ob und inwieweit der Einsatz von KI-Werkzeugen in einer Prüfung gestattet ist, hängt von den Vorgaben der Prüfer*innen und den in den Modulen zu erwerbenden Kompetenzen ab.
Grundsätzlich gilt aber: Wenn die eigenständige Leistungserbringung vorausgesetzt wird und Studierende mit Hilfe von Künstlicher Intelligenz Texte generieren oder Lösungen erarbeiten und diese nicht offenlegen, kann dies als Täuschungsversuch bzw. Plagiat gewertet werden.
Falls in einem Modul KI-Werkzeuge genutzt werden dürfen, müssen Studierende unbedingt die entsprechenden Vorgaben der Lehrenden berücksichtigen.
Sie müssen die Verwendung von KI in ihren Arbeiten offenlegen und an den entsprechenden Textpassagen kenntlich machen.
As a rule, however, the following applies: If students use artificial intelligence to generate texts or work out solutions without disclosing this when they are expected to produce independent work, this may be regarded as an attempt to cheat or plagiarism.
Der Einsatz von KI-gestützten Werkzeugen in Prüfungen kann nach den geltenden Prüfungsordnungen als Täuschungsversuch bewertet werden. Entscheidend sind insbesondere die Vorgaben der Prüfenden und die in den Modulen zu erwerbenden Kompetenzen.
Ob und inwieweit der Einsatz von KI-Werkzeugen in einer Prüfung gestattet ist, hängt von den Vorgaben der Prüfer*innen und den in den Modulen zu erwerbenden Kompetenzen ab.
Falls in einem Modul KI-Werkzeuge genutzt werden dürfen, müssen Studierende unbedingt die entsprechenden Vorgaben der Lehrenden berücksichtigen.
As a rule, however, the following applies: If students use artificial intelligence to generate texts or work out solutions without disclosing this when they are expected to produce independent work, this may be regarded as an attempt to cheat or plagiarism.
Whether and to what extent the use of AI tools is permitted in an examination depends on the specifications of the examiners and the competences to be acquired in the modules.
An der TU Berlin stehen wir vor der Herausforderung, den sinnvollen Einsatz von Künstlicher Intelligenz (KI) in der Lehre zu gestalten und dabei wichtige Aspekte wie Prüfungsformate, Datenschutz und akademische Integrität zu berücksichtigen.
Auf dieser Seite haben wir für Sie Hinweise und Ressourcen zusammengestellt, die Sie bei der Gestaltung Ihrer Lehre im Zusammenhang mit KI unterstützen sollen.
Not all topics listed are addressed comprehensively. We are constantly revising and adding to these pages, therefore, should you have any suggestions, comments or additions, please contact us.
All examination achievements completed with the aid of AI applications must be indicated and labelled as such. This includes all sections of the text or other forms of examination submission generated with AI. This requirement also applies if AI-based tools were used solely for proof-reading or translation purposes.
Please remember that AI systems are not authors in the sense of current law and generally cannot reliably indicate the provenance of generated content. Therefore, they may not be cited as sources and must not be listed as co-authors.
The declaration of independent work submitted with the thesis must include a statement specifying whether and in what form generative artificial intelligence was used in preparing the thesis.
Students remain fully responsible for the content of their thesis. This applies in particular to the correctness of all statements, references, quotations and citations, and to compliance with the principles of good scientific practice. AI-generated content may contain false, misleading or plagiarised information. It is therefore essential that all generated content be critically reviewed and independently verified before use.
The data processing principles according to the GDPR must also be considered if personal data is processed. Accordingly, only personal data should be uploaded if this processing is covered by a valid legal basis. If the processing is based on consent, consent must clearly state for which purpose and using which tool the personal data is being processed.
Confidential or personal data should not be entered into AI tools without permission and students should be made aware of this.
Generated results should always be critically reviewed. AI generated content can be inaccurate and contain false information or cite sources that do not exist. Use AI generated content with caution and always pay attention to anti-discrimination aspects and data protection.
Wissenschaftler*innen tragen die Verantwortung für den gesamten Inhalt ihrer Veröffentlichungen. Sie prüfen daher KI-generierte Ergebnisse sorgfältig und übernehmen nur nach sorgfältiger Prüfung die Verantwortung dafür.
Künstliche Intelligenz darf nicht als Autorin einer wissenschaftlichen Veröffentlichung genannt werden.
Students remain fully responsible for the content of their thesis. This applies in particular to the correctness of all statements, references, quotations and citations, and to compliance with the principles of good scientific practice. AI-generated content may contain false, misleading or plagiarised information. It is therefore essential that all generated content be critically reviewed and independently verified before use.
Researchers remain responsible for the integrity of their research-related outputs, irrespective of whether AI tools are used in their generation. This includes responsibility for the originality, validity, and proper attribution of any data, text, images, code, or analyses.
Sie müssen die Verwendung von KI in ihren Arbeiten offenlegen und an den entsprechenden Textpassagen kenntlich machen.
All examination achievements completed with the aid of AI applications must be indicated and labelled as such. This includes all sections of the text or other forms of examination submission generated with AI. This requirement also applies if AI-based tools were used solely for proof-reading or translation purposes.
The declaration of independent work submitted with the thesis must include a statement specifying whether and in what form generative artificial intelligence was used in preparing the thesis.
There are different ways to make the use of GenAI transparent, e.g. documenting its use in the methodology section, in a footnote or in an appendix. The exact format is left to the teacher.
Der Einsatz von KI-gestützten Werkzeugen in Prüfungen kann nach den geltenden Prüfungsordnungen als Täuschungsversuch bewertet werden.
Grundsätzlich gilt aber: Wenn die eigenständige Leistungserbringung vorausgesetzt wird und Studierende mit Hilfe von Künstlicher Intelligenz Texte generieren oder Lösungen erarbeiten und diese nicht offenlegen, kann dies als Täuschungsversuch bzw. Plagiat gewertet werden.
As a rule, however, the following applies: If students use artificial intelligence to generate texts or work out solutions without disclosing this when they are expected to produce independent work, this may be regarded as an attempt to cheat or plagiarism.
Lehrende sollten mit Studierenden vorab besprechen, ob und wie der Einsatz von KI-Tools in Lehrveranstaltungen erlaubt bzw. sinnvoll ist. Hieraus lässt sich eine Orientierung für den Umgang mit KI in Prüfungen ableiten.
The exact format is left to the teacher.
Confidential or personal data should not be entered into AI tools without permission and students should be made aware of this.
Generated results should always be critically reviewed.
The data processing principles according to the GDPR must also be considered if personal data is processed. Accordingly, only personal data should be uploaded if this processing is covered by a valid legal basis. If the processing is based on consent, consent must clearly state for which purpose and using which tool the personal data is being processed.
Confidential or personal data should not be entered into AI tools without permission and students should be made aware of this.
Please also note data protection and copyright issues when using AI applications.
An der TU Berlin stehen wir vor der Herausforderung, den sinnvollen Einsatz von Künstlicher Intelligenz (KI) in der Lehre zu gestalten und dabei wichtige Aspekte wie Prüfungsformate, Datenschutz und akademische Integrität zu berücksichtigen.
Auf dieser Seite haben wir für Sie Hinweise und Ressourcen zusammengestellt, die Sie bei der Gestaltung Ihrer Lehre im Zusammenhang mit KI unterstützen sollen.
Not all topics listed are addressed comprehensively. We are constantly revising and adding to these pages, therefore, should you have any suggestions, comments or additions, please contact us.
Knowing your institution's AI policy is step one. DocuMark helps enforce it fairly by empowering universities to manage AI-generated content, prevent cheating, and support student writing through responsible AI use.
TU Berlin has defined AI policies in 11 of 12 categories, with an overall coverage score of 92%.
TU Berlin requires disclosure when AI has been used in assessed academic work and theses. Students must mark AI-generated passages, describe AI use in the declaration of independent work for theses, and should follow course-specific instructions on how to document AI assistance.
TU Berlin states that undisclosed AI use can be treated as cheating or plagiarism when independent work is required. The verified sources do not define a university-wide AI detection tool policy, but they do link AI misuse to existing examination misconduct rules and emphasize examiner discretion.
TU Berlin requires compliance with data protection and confidentiality rules when using AI tools. Personal or confidential data should not be entered without a valid legal basis or permission, and the verified sources do not identify a university-wide list of approved AI platforms.
Disclaimer:* All university AI policy information presented on this platform is compiled from publicly available information, official university websites, and related academic sources. This data reflects information available at the time of last verification as on 27th February 2026. University and institution names referenced on this platform are the property and trademarks of their respective institutions. Their inclusion does not imply any affiliation with, endorsement by, or partnership with those institutions. Policy coverage scores and categorical indicators are automated assessments derived from available documentation and are provided for informational and comparative purposes only. They do not constitute legal, academic, or compliance advice. Users are advised to exercise their own judgement and independently verify all policy information directly with the respective university before making any academic or institutional decisions. For any queries or corrections, please contact us at support@trinka.ai