Lund, Sweden

Lund University

Lund University is listed as QS 2026 rank =72. Lund University has 10 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Short answer

v1 public contract

Lund University is listed as QS 2026 rank =72. Lund University has 10 source-backed AI policy claim records from 5 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.

Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims10Reviewed10Candidate0Official sources5

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 score85/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence76%

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.

AI disclosure

No source-backed public claim about AI disclosure or acknowledgement is present in this profile.

The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

10 reviewed evidence-backed public claim

Ai Tool Treatment

Lund University's Swedish generative AI policy encourages staff and students to explore and use generative AI responsibly and creatively within the stated policy principles.

Review: Agent reviewedConfidence90%

Normalized value: encourages_responsible_creative_genai_use_within_policy_principles

Original evidence

Evidence 1
Lunds universitet uppmuntrar alla medarbetare och studenter att utforska och använda generativ AI på ett ansvarsfullt och kreativt sätt inom de ramar som framgår av här angivna principer.

Localized display only

Lund University encourages all staff and students to explore and use generative AI responsibly and creatively within the stated principles.

Teaching

Lund University's Swedish policy says generative AI use is to support learning and research and does not replace basic skills, critical thinking, or scientific method.

Review: Agent reviewedConfidence90%

Normalized value: genai_supports_learning_research_not_core_skills

Original evidence

Evidence 1
Stöd i lärande och forskning. Användning av generativ AI ska stödja lärande och forskning och ersätter inte grundläggande färdigheter, kritiskt tänkande eller vetenskaplig metod.

Localized display only

Use of generative AI is to support learning and research and does not replace basic skills, critical thinking, or scientific method.

Academic Integrity

Lund University's Swedish policy says staff and students are responsible for all content they produce, including when generative AI has been used as support.

Review: Agent reviewedConfidence90%

Normalized value: staff_students_responsible_for_ai_supported_content

Original evidence

Evidence 1
Medarbetare och studenter är ansvariga för allt innehåll de producerar, oavsett om generativ AI har använts som stöd. Det är den enskildes ansvar att säkerställa att materialet uppfyller krav på korrekthet och akademisk integritet.

Localized display only

Staff and students are responsible for all content they produce, including when generative AI has been used as support.

Procurement

Lund University's Swedish policy says generative AI use is to comply with privacy and security laws and that procured tools or existing licensing agreements should be used in the first instance.

Review: Agent reviewedConfidence90%

Normalized value: privacy_security_compliance_and_procured_tools_first

Original evidence

Evidence 1
Användning av generativ AI ska följa lagar om integritet och säkerhet. Vid användning av generativ AI ska i första hand upphandlade verktyg användas eller avropade inom befintliga licensavtal.

Localized display only

Use of generative AI is to comply with privacy and security laws, and procured tools or existing licensing agreements are to be used in the first instance.

Academic Integrity

Lund University's student guidance says students who want to use GenAI for a compulsory assignment or examination must check whether it is permitted and how to report its use; presenting GenAI-generated work as one's own may be treated as cheating.

Review: Agent reviewedConfidence90%

Normalized value: students_check_permission_reporting_for_compulsory_work_and_exams

Original evidence

Evidence 1
If you wish to use GenAI for a compulsory assignment or in an examination, you must always double-check with the teacher whether it is permitted and, if so, how you should report its use. Even if it is not clearly stated in the course materials that GenAI is prohibited, it may still be considered cheating if you make it appear as though you have created something yourself that a GenAI tool has generated for you.

Privacy

Lund University's staff AI page says users may not write or upload sensitive material or sensitive personal data to ChatGPT, and may never upload medical information regardless of confidentiality status.

Review: Agent reviewedConfidence90%

Normalized value: no_sensitive_personal_data_or_medical_information_in_chatgpt

Original evidence

Evidence 1
You may not write or upload sensitive material or sensitive personal data according to GDPR, such as: health information; ethnic origin; political opinions; religious beliefs; trade union membership; sex life or sexual orientation; biometric or genetic data. You may also never upload medical information regardless of confidentiality status.

Teaching

Lund University's GenAI Q&A says generative AI tools are permissible in education when teachers believe they contribute to or facilitate learning, with teachers responsible for informing students about course or programme rules.

Review: Agent reviewedConfidence88%

Normalized value: genai_permissible_when_supports_learning_and_rules_are_communicated

Original evidence

Evidence 1
At Lund University, it is permissible to use generative AI tools in education if you believe they can contribute to or facilitate learning. However, there are some important things to consider. As a teacher, you need to: be able to confirm that students have achieved the program's and course's learning objectives; be aware that sharing students' work with GAI tools is not allowed; ensure that every student has equal access to the GAI tools you recommend; inform students about the risks of sharing personal information or copyrighted material with the tools; inform students about the rules for using GAI tools in the course or program.

Teaching

Lund University's teacher guidance says teachers should inform students after deciding how GenAI products may be used in teaching and should explain whether and how students can use GenAI products in their work.

Review: Agent reviewedConfidence88%

Normalized value: teachers_inform_students_how_genai_may_be_used

Original evidence

Evidence 1
Once you have reviewed learning objectives and made decisions about the use of GenAI products in teaching, you must inform your students. Be clear about whether and, if so, how students can use GenAI products in their work. It is also important to inform students about the consequences of unauthorized use of GenAI products:

Privacy

Lund University's student guidance says students should primarily use Lund-licensed tools such as Microsoft Copilot Chat and Google Gemini, and must not upload other students' work, sensitive personal data, or copyright-protected material.

Review: Agent reviewedConfidence88%

Normalized value: students_use_licensed_tools_and_do_not_upload_sensitive_or_copyright_material

Original evidence

Evidence 1
When studying, you should primarily use the tools for which Lund University holds licences. As a student at Lund University, you can use Microsoft Copilot Chat and Google Gemini by logging in with your student account. However, even if you are logged in with your student account, you must never upload, for example, other students' work, sensitive personal data or copyright-protected material - this applies to text as well as images, audio or video.

Procurement

Lund University's staff AI page says ChatGPT is available free of charge to teachers and researchers for one year through ChatGPT Edu.

Review: Agent reviewedConfidence88%

Normalized value: chatgpt_edu_available_to_teachers_researchers_for_one_year

Original evidence

Evidence 1
ChatGPT is available free of charge to the university's teachers and researchers for one year via ChatGPT Edu. This provides access to powerful generative AI support for analysis, problem-solving, and development work - within a more secure environment tailored for academic activities.

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

5 source attribution

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 13, 2026Last changedMay 13, 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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