University of Magdeburg AI Policy

PrivateLast Updated: February 2026

Academic IntegrityInstitutional & AdministrativeResearchTeaching & Learning
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Policy Coverage
92%11 of 12
Permitted
Coursework
This university allows students to use AI tools in coursework, subject to course-level guidelines set by instructors.
Required
Disclosure
Students must formally disclose and cite any AI assistance used when submitting academic work.
Tools Active
Detection
The university employs AI detection software (such as Turnitin or similar tools) to identify AI-generated content in submissions.
Strategy Set
Governance
A formal AI governance strategy or institutional framework has been defined.
POLICY OVERVIEW

AI Policy Summary

University of Magdeburg has defined AI policies across 11 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. AI tools are generally permitted in coursework, subject to instructor guidelines. 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, 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.

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Teaching & Learning

U1Coursework & Assignments
AI Permitted
  • At the Faculty of Economics and Management, AI use in written coursework is partly permitted but set at examiner/module level
  • The examination board guidance states that at least literature research and text correction should generally be allowed for term papers, seminar papers, and final theses without a notification requirement, while the exact permitted scope depends on the core independent performance defined by the examiner

 In Abhängigkeit dieser zu bewertenden (Kern-)Eigenleistung erfolgt dann die Fest­legung der erlaubten Hilfsmittel und damit auch Art und Umfang einer mgl. Nutzung

von KI-Tools durch die Prüfer modulspezifisch, d. h. im individuellen Prüfungskon­text ggf. unterschiedlich (= Heterogenitätsprinzip).

 PA-Postulat:

o Haus-/ Seminar-/ Abschlussarbeiten:

 KI-Einsatz mindestens zur Literaturrecherche + Textkorrektur grundsätz­lich (ohne Anzeigepflicht) zulassen

U2Examinations & Assessments
AI Prohibited in Exams
  • Policies vary by faculty and assessment type
  • In the Faculty of Economics and Management, AI is generally prohibited in exams and online examinations, while other assessment formats are set module-specifically by examiners
  • In the Faculty of Computer Science, use of AI-generated content in answers to examination questions must be disclosed, including the system used, the specific sections affected, the level of use, and the reason for use

o Klausuren + Onlineprüfungen (sA):

 KI-Einsatz grundsätzlich zu versagen (analog zu Smartphone/-watch)

o Alle anderen Prüfungsarten gemäß §14 (3) ASPOs:

 KI-Einsatz gänzlich modulspezifisch festzulegen

The use of content generated by artificial intelligence (AI) in a thesis or an answer to a question (including but not limited to text, figures, images and code) must be disclosed. The AI system used must be specified, and specific sections of the paper or answer where AI-generated content is used must be identified and accompanied by a brief explanation of the level at which the AI system was used to generate the content. The reason for using the tools should also be stated.

U3Learning & Study Assistance
AI Encouraged for Study
  • However, the provided sources do not define explicit rules for students' personal non-graded study assistance use of AI tools
  • The university provides support for developing AI-related skills in teaching and learning and offers a data-protection-compliant AI service

An der OVGU steht HAWKI zur Verfügung, um eine datenschutzkonforme KI-Nutzung zu ermöglichen.

Sie wollen Ihr Wissen und Ihre Kompetenzen zur KI-Nutzung in Lehre und Lernen weiterentwickeln? Hier finden Sie eine Übersicht zu empfehlenswerten Schulungsangeboten .

U4Code Generation & Programming
AI Coding AllowedAttribution Required
  • In the Faculty of Computer Science, AI-generated code used in theses or answers to examination questions is permitted only with mandatory disclosure
  • The policy explicitly includes code among the content types that must be disclosed, and the author must remain responsible for the scientific contribution

The use of content generated by artificial intelligence (AI) in a thesis or an answer to a question (including but not limited to text, figures, images and code) must be disclosed. The AI system used must be specified, and specific sections of the paper or answer where AI-generated content is used must be identified and accompanied by a brief explanation of the level at which the AI system was used to generate the content. The reason for using the tools should also be stated.

Even when using generative AI, the scientific contribution must be made by the author.

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Research

U5Research Writing & Manuscript Preparation
Editing-Level Use AllowedDisclosure Required
  • Grammar improvement with AI is recognized as common practice, but it still requires disclosure, and the author must remain the source of the scientific contribution
  • For dissertations in the Faculty of Computer Science, AI-generated content in the dissertation must be disclosed, with the AI system named, relevant sections identified, and the level of use explained; the reason for use should also be stated

Die Verwendung von Inhalten, die durch künstliche Intelligenz (KI) in einem Artikel

generiert wurden (einschließlich, aber nicht beschränkt auf Text, Abbildungen, Bilder

und Code), muss in der Dissertation offengelegt werden. Das verwendete KI-System

ist anzugeben und bestimmte Abschnitte des Artikels, in denen KI-generierte Inhalte

verwendet werden, sind zu kennzeichnen und mit einer kurzen Erklärung zu versehen,

auf welcher Ebene das KI-System zur Generierung der Inhalte verwendet wurde.

Ebenso soll der Grund für die Verwendung der Tools angeben werden.

Die Verwendung von KI-Systemen für die Bearbeitung und Verbesserung der

Grammatik ist gängige Praxis und liegt als solche im Allgemeinen außerhalb der

The use of content generated by artificial intelligence (AI) in a thesis or an answer to a question (including but not limited to text, figures, images and code) must be disclosed. The AI system used must be specified, and specific sections of the paper or answer where AI-generated content is used must be identified and accompanied by a brief explanation of the level at which the AI system was used to generate the content. The reason for using the tools should also be stated.

The use of AI systems for editing and improving grammar is common practice. Disclosure as described above is also required in this case, but it can be provided in summary form for the entire work.

Even when using generative AI, the scientific contribution must be made by the author.

U6Research Data & Analysis
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No policy defined yet
U7Research Ethics & Integrity
Review Board InvolvedEthics Framework Active
  • However, the provided sources do not define AI-specific rules for grant proposals, IRB applications, or ethics declarations
  • The university has institution-level research integrity structures and states that all persons engaged in research at the university are obliged to comply with the general principles of good scientific practice

Gemäß § 4 Abs. 5 des Gesetzes über die Hochschulen des Landes Sachsen-Anhalt (HSG LSA)

sind alle an der Hochschule wissenschaftlich Tätigen zur Einhaltung der allgemeinen

Grundsätze guter wissenschaftlicher Praxis verpflichtet.

Um alle Forschenden an der OVGU bei der Aufgabe zu unterstützen, die Standards guter wissenschaftlicher Praxis (GWP) im Alltag optimal in ihre drei großen Aufgaben - Forschung, Lehre und Nachwuchsförderung - zu integrieren, hat die OVGU die Servicestelle Wissenschaftliche Integrität geschaffen.

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Academic Integrity

U8Disclosure & Attribution Requirements
Disclosure MandatoryCitation Required
  • Disclosure requirements are explicit in both the Faculty of Computer Science and the Faculty of Economics and Management
  • Computer Science requires disclosure of AI-generated content, identification of the AI system, specification of the sections affected, explanation of the level of use, and the reason for use
  • In Economics and Management, AI-derived passages in coursework must be marked with source attribution, AI transcripts must be fully deposited in the digital version, and the tool documentation may include the tool name, version, access date, URL, prompt, application classification, and output

The use of content generated by artificial intelligence (AI) in a thesis or an answer to a question (including but not limited to text, figures, images and code) must be disclosed. The AI system used must be specified, and specific sections of the paper or answer where AI-generated content is used must be identified and accompanied by a brief explanation of the level at which the AI system was used to generate the content. The reason for using the tools should also be stated.

Textpassagen in der Haus-/Seminar-/Abschlussarbeit, die wörtlich oder sinngemäß KI-ba­sierten Tools (insbes. Textgeneratoren) entnommen wurden, sind unter Angabe der Quelle:

 Gedruckte Arbeit: visuell

4 zu kennzeichnen (bspw. durch „graue“ Texthinterlegung)

 Digitale Version der Arbeit: zusätzlich zugrundeliegende KI-Transkriptionen voll­umfänglich zu hinterlegen.

KI-Tools

Zur Erstellung der Arbeit genutzte KI-basierte Tools können wie folgt dokumentiert werden:

Name des KI-Tools, Softwareversion, ggfs. Datum des Abrufs, ggfs. URL, verwendeter

Prompt (Fragestellung des Verfassers), Klassifizierung der Anwendung und ggfs. Ergebnis

(Transkription oder Screenshots).

U9Detection & Enforcement
Detection Tools Used
  • The university and faculties describe enforcement mechanisms for plagiarism and deception and allow plagiarism-checking software, but they also caution against overreliance on detection reports
  • In the Faculty of Computer Science, a TurnItIn report alone is not sufficient to establish plagiarism in a thesis because it can produce false positives and false negatives; in the Faculty of Economics and Management, students may be required to consent to software-based plagiarism checking, and deceptive conduct can result in a failing grade

If plagiarism is detected in a thesis, an expert opinion must still be prepared. A TurnItIn report is not sufficient here, as TurnItIn can certainly lead to many false positives (e.g. due to low authorship) and also false negatives (e.g. due to rewording).

 dass meine Arbeit mittels Software auf Plagiate überprüft werden kann. Mir ist bekannt, dass es

sich bei der Abgabe eines Plagiats um ein schweres akademisches Fehlverhalten handelt und dass

Täuschungen nach der für mich gültigen Studien- und Prüfungsordnung geahndet werden.

Mir ist bewusst,

 dass im Falle eines Täuschungsversuchs die Arbeit von Amts wegen als mit „nicht ausreichend

(5,0“ bewertet gilt

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Institutional & Administrative

U10Faculty & Staff Use
Faculty Policy Defined
  • The university provides AI-related support for teaching staff and states that AI can be used in a data-protection-compliant way through HAWKI
  • In the Faculty of Economics and Management, examiners are responsible for defining the independent student performance in module descriptions and for setting the allowed aids, including the type and extent of possible AI use, on a module-specific basis

An der OVGU steht HAWKI zur Verfügung, um eine datenschutzkonforme KI-Nutzung zu ermöglichen.

Sie wollen Ihr Wissen und Ihre Kompetenzen zur KI-Nutzung in Lehre und Lernen weiterentwickeln? Hier finden Sie eine Übersicht zu empfehlenswerten Schulungsangeboten .

 Die konkret zu erbringende Eigenleistung der Prüflinge bezüglich der nachzuwei­senden Methoden- und Wissenskompetenzen legen die Prüfer eigenverantwortlich

in der Modulbeschreibung fest (= Prüferprinzip):

 In Abhängigkeit dieser zu bewertenden (Kern-)Eigenleistung erfolgt dann die Fest­legung der erlaubten Hilfsmittel und damit auch Art und Umfang einer mgl. Nutzung

von KI-Tools durch die Prüfer modulspezifisch, d. h. im individuellen Prüfungskon­text ggf. unterschiedlich (= Heterogenitätsprinzip).

U11Institutional Data Protection & Approved AI Platforms
Approved Tools ListedUnapproved AI Blocked
  • The university identifies HAWKI as an available platform intended to enable data-protection-compliant AI use
  • The provided sources do not define a fuller university-wide data-classification regime or a broader approved/prohibited platform list

An der OVGU steht HAWKI zur Verfügung, um eine datenschutzkonforme KI-Nutzung zu ermöglichen.

U12University AI Governance & Strategy
AI Strategy Defined
  • The sources show a service office for scientific integrity and institutional provision of HAWKI for compliant AI use
  • The university has governance and support structures around research integrity and AI enablement, but the provided sources do not set out a comprehensive university-wide AI strategy or roadmap

Um alle Forschenden an der OVGU bei der Aufgabe zu unterstützen, die Standards guter wissenschaftlicher Praxis (GWP) im Alltag optimal in ihre drei großen Aufgaben - Forschung, Lehre und Nachwuchsförderung - zu integrieren, hat die OVGU die Servicestelle Wissenschaftliche Integrität geschaffen.

An der OVGU steht HAWKI zur Verfügung, um eine datenschutzkonforme KI-Nutzung zu ermöglichen.

DocuMark: Responsible AI Use for Academic Integrity

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.

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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