Aarhus, Denmark

Aarhus University

Aarhus University is listed as QS 2026 rank 131. Aarhus University has 9 source-backed AI policy claim records from 4 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Short answer

v1 public contract

Aarhus University is listed as QS 2026 rank 131. Aarhus University has 9 source-backed AI policy claim records from 4 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Citation-ready summary

As of this public record, University AI Policy Tracker lists Aarhus University as an agent-reviewed AI policy record last checked on May 14, 2026 and last changed on May 14, 2026. The record contains 9 source-backed claims, including 9 reviewed claims, from 4 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/aarhus-university.json. The entity-level confidence is 97%. This tracker is not legal advice, not academic integrity advice, and not an official university statement unless the linked source is the university's own official page.

Claim coverage9 reviewedSource languageenPublic JSON/api/public/v1/universities/aarhus-university.json

Policy signals in this record

  • Evidence includes Academic integrity claims.
  • Evidence includes AI tool treatment claims.
  • Evidence includes Privacy claims.
  • Evidence includes Teaching claims.
  • Evidence includes Procurement claims.
  • Named AI services detected in public claims: ChatGPT, Microsoft Copilot.
  • Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
  • Teaching, assessment, coursework, or syllabus-related language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims9Reviewed9Candidate0Official sources4

This reference record summarizes visible public data only. Official sources and original-language evidence remain canonical; confidence is separate from review state.

This page is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.

Policy profile

Deterministic source-backed dimensions derived from this record's public claims.

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence81%

Policy profile rows are machine-candidate derived metadata. They are not final policy conclusions; inspect the linked claim evidence before reuse.

Analysis page-quality metadata is available at /api/public/v1/analysis/page-quality.json.

Teaching guidance

Aarhus University has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence81%Evidence1Sources1

Research guidance

Aarhus University has 1 source-backed public claim for research guidance; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence80%Evidence1Sources1

Security and procurement

Aarhus University has 1 source-backed public claim for security and procurement; deterministic analysis status: required.

RequiredMachine candidateConfidence80%Evidence1Sources1

Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.

Evidence-backed claims

9 reviewed evidence-backed public claim

Academic Integrity

Aarhus University student guidance says students who use GAI in an exam project must submit a declaration naming the applications and explaining how they were used, and unchanged GAI output used in an exam project must be cited like other secondary-source quotations.

Review: Agent reviewedConfidence97%

Normalized value: gai_exam_project_declaration_and_unchanged_output_citation_required

Original evidence

Evidence 1
If you use part of a text or another output generated by a GAI application in your exam project without changing it, you must cite it in the same way you cite quotations from other secondary sources. If you use GAI in your exam project, you must submit a declaration that contains the following: 1) confirmation you used GAI, 2) the name of the GAI applications you used (ChatGPT, Copilot, Bing etc. and 3) an explanation of how you used the applications in your paper.

Localized display only

Students must cite unchanged GAI output used in an exam project and submit a declaration confirming GAI use, naming the applications, and explaining their use.

Ai Tool Treatment

Aarhus University student guidance says the main rule is that students are allowed to use GAI unless their academic regulations or the course catalogue explicitly state that GAI is not allowed.

Review: Agent reviewedConfidence96%

Normalized value: student_gai_allowed_unless_academic_regulations_or_course_catalogue_disallow

Original evidence

Evidence 1
The main rule is that you are allowed to use GAI if your academic regulations or the course catalogue doesn’t explicitly state that using GAI is not allowed.

Localized display only

AU student guidance states that GAI is allowed by default unless academic regulations or the course catalogue explicitly disallow it.

Privacy

Aarhus University student guidance says students should never upload confidential or sensitive personal data covered by GDPR rules to a GAI application.

Review: Agent reviewedConfidence96%

Normalized value: students_never_upload_confidential_sensitive_gdpr_data_to_gai

Original evidence

Evidence 1
Never upload confidential or sensitive personal data (in other words, data covered by the GDPR rules) to a GAI application: you can’t be sure what will happen to the texts you upload. Make sure you understand the data protection rules, and follow them.

Localized display only

AU student guidance tells students never to upload confidential or sensitive personal data covered by GDPR to GAI applications.

Privacy

Aarhus University staff guidance says staff may not use GAI for trade secrets, confidential or sensitive data or copyrighted material; staff are responsible for the accuracy and quality of GAI-generated content they use or share; and GAI use should be credited where relevant.

Review: Agent reviewedConfidence96%

Normalized value: staff_no_confidential_sensitive_copyrighted_material_verify_quality_credit_gai

Original evidence

Evidence 1
This means that you may not use GAI for anything involving trade secrets, confidential or sensitive data or copyrighted material. When you use GAI to generate a text or an image, you are responsible for ensuring the accuracy and quality of the content. Generally speaking, you should always consider whether crediting your use of GAI is relevant when you use GAI to generate a text, an image, a video or another product.

Localized display only

AU staff guidance bars GAI use with trade secrets, confidential/sensitive data, or copyrighted material, and requires users to verify quality and consider crediting GAI use.

Academic Integrity

Aarhus University student guidance says that when GAI is not allowed for an exam, students are not allowed to use GAI for proofreading or feedback on the exam text, and for internet-allowed exams where GAI is not allowed students may do regular web searches but may not actively use AI functions.

Review: Agent reviewedConfidence95%

Normalized value: when_gai_disallowed_no_gai_proofreading_feedback_or_active_ai_functions

Original evidence

Evidence 1
If you’re not allowed to use GAI for the exam in question, you are not allowed to use GAI to proofread and give you feedback on your exam text. Exams where the internet is allowed, but AI is not allowed, you are allowed to do regular web searches, but you are not allowed to actively use AI functions.

Localized display only

When GAI is disallowed for an exam, AU bars GAI proofreading/feedback on exam text and active use of AI functions even if regular internet search is allowed.

Teaching

AU Educate guidance for teaching staff says that from fall 2024 students are allowed to use GAI in all AU exams unless academic regulations or the course description explicitly state that they may not, and it advises teachers to read those rules for their courses.

Review: Agent reviewedConfidence95%

Normalized value: teaching_staff_guidance_fall_2024_gai_allowed_unless_rules_disallow

Original evidence

Evidence 1
From the fall of 2024, students are allowed to use generative artificial intelligence (GAI) in all exams at AU unless it is explicitly stated in the academic regulations or course description that they may not. The new rules have been implemented in the individual academic regulations and course descriptions, therefore it might be beneficial to read these and understand how it applies to your course(s).

Localized display only

AU Educate tells teaching staff that GAI is allowed in all AU exams from fall 2024 unless programme or course rules explicitly disallow it.

Procurement

Aarhus University staff guidance says all students and staff have access to a Microsoft Copilot version similar to free ChatGPT, that no university-wide guidelines for which GAI applications are allowed have been adopted, and that purchases of systems and licences must be handled with the unit, AU IT and AU Finance.

Review: Agent reviewedConfidence94%

Normalized value: copilot_access_no_university_wide_allowed_app_guidelines_purchases_with_unit_it_finance

Original evidence

Evidence 1
In addition to access to all free GAI applications, all students and staff have access to the version of the Microsoft Copilot which is similar to the free version of ChatGPT. No university-wide guidelines for which GAI applications staff and students are allowed to use have been adopted. However, any purchases of systems and licenses must be carried out in collaboration between the individual unit and AU IT and AU Finance.

Localized display only

AU staff guidance notes Copilot access for students and staff, no adopted university-wide list of allowed GAI applications, and central handling of purchases with AU IT and AU Finance.

Privacy

AU Library guidance says students using AI to transcribe interviews should consider legality and good academic practice, including responsibility for personal and confidential data, informant consent, GDPR compliance, secure storage and deletion when data is no longer needed.

Review: Agent reviewedConfidence93%

Normalized value: ai_interview_transcription_requires_personal_data_responsibility_consent_gdpr_secure_storage_deletion

Original evidence

Evidence 1
As a student, you are responsible for your use of AI in your work. If you want to use an AI tool to transcribe your interviews, you should carefully consider the entire process in relation to legality and good academic practice. Always be aware of: As a student, you are responsible for data when processing personal data and confidential information. Have your informants given consent to the processing? Consider which AI technology you are using and whether it complies with GDPR legislation.

Localized display only

AU Library tells students to treat AI interview transcription as a data-protection and consent workflow, not just a technical tool choice.

Candidate claims

0 machine or needs-review claim

Candidate claims are not final policy conclusions. They preserve source URL, source snapshot hash, evidence, confidence, and review state so the record can be audited before review.

Official sources

4 source attribution

Generative artificial intelligence (GAI)

studerende.au.dk

Snapshot hash
74d5fe6b3a7cc520e693ce53d0a49b58eac0454c036691bfd1f833a03ce6d1e2

Change log

Source-check timeline and diff-style claim/evidence preview.

View the public change record for this university, including source snapshot hashes, claim review states, and a diff-style preview of current source-backed evidence.

Last checkedMay 14, 2026Last changedMay 14, 2026Open change log

Corrections and missing evidence

Corrections create review tasks and do not directly change this public record.

If an official source is missing, stale, moved, blocked, or incorrectly summarized, submit a source URL, policy change report, or institution correction for review. Corrections must preserve source URLs, source language, original evidence, review state, and audit history.

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