Policy presence
University of Gothenburg has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Gothenburg, Sweden
University of Gothenburg is listed as QS 2026 rank 202. University of Gothenburg has 8 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.
v1 public contract
University of Gothenburg is listed as QS 2026 rank 202. University of Gothenburg has 8 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.
As of this public record, University AI Policy Tracker lists University of Gothenburg as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 8 source-backed claims, including 8 reviewed claims, from 5 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/university-of-gothenburg.json. The entity-level confidence is 96%. 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.
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.
Deterministic source-backed dimensions derived from this record's public claims.
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.
University of Gothenburg has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
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.
University of Gothenburg has 2 source-backed public claims for coursework; deterministic analysis status: allowed.
University of Gothenburg has 5 source-backed public claims for exams; deterministic analysis status: restricted.
University of Gothenburg has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
University of Gothenburg has 3 source-backed public claims for academic integrity; deterministic analysis status: restricted.
University of Gothenburg has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
University of Gothenburg has 4 source-backed public claims for named ai services; deterministic analysis status: restricted.
University of Gothenburg has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
University of Gothenburg has 1 source-backed public claim for research guidance; deterministic analysis status: restricted.
No source-backed public claim about AI security review or procurement is present in this profile.
The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
8 reviewed evidence-backed public claim
Academic Integrity
Normalized value: AI-generated content may not be presented as own work; examiner should specify permitted-use limits
Original evidence
Evidence 1With regard to the use of generative AI tools, AI-generated content may not be presented as one’s own work, as this is considered misleading. In the task instructions, the examiner should specify the limits for the permitted use of generative AI tools.
Ai Tool Treatment
Normalized value: no university-wide prohibition; course/examiner-level decisions
Original evidence
Evidence 1Göteborgs universitet förbjuder inte användning av generativ AI i utbildning. Istället är det upp till lärare och examinatorer att själva avgöra om, när och hur generativ AI kan användas i kursarbete och examinationer.
Teaching
Normalized value: guidelines vary by course/programme/department/faculty; teachers/examiners communicate them
Original evidence
Evidence 1Riktlinjer för generativ AI varierar mellan kurser, program, avdelningar och fakulteter. Det är lärare och examinatorer som ansvarar för att kommunicera riktlinjer kring generativ AI till studenter.
Academic Integrity
Normalized value: unauthorized generative AI use can count as cheating
Original evidence
Evidence 1Generativ AI kan skapa nytt innehåll. Universitetet förbjuder inte användning av generativ AI, men det räknas som fusk om du använder det för att: Genomföra en examinationsuppgift som du som student förväntas göra själv; Presenterar AI-genererad text eller annat material som om det vore ditt eget arbete; Även andra sätt att använda generativ AI kan vara otillåtna i din kurs eller i ditt program.
Ai Tool Treatment
Normalized value: Microsoft 365 Copilot Chat for all staff/students; ChatGPT Edu for employees; extended Copilot by approved paid request
Original evidence
Evidence 1At present, all staff and students have access to the chat service Microsoft 365 Copilot Chat. In addition, employees have access to ChatGPT Edu. It is also possible to request access to the extended version of Copilot, Microsoft 365 Copilot; however, this service comes with a cost that is charged to the department or equivalent, and therefore an order requires approval from a manager.
Academic Integrity
Normalized value: AI-detection tools not recommended because existing tools are unreliable
Original evidence
Evidence 1Det är viktigt att notera att universitetet inte rekommenderar att kontrollera ditt arbete med en AI-detektionsverktyg eftersom befintliga verktyg är opålitliga.
Ai Tool Treatment
Normalized value: generative AI treated as a tool in examinations; first- and second-cycle study rules apply
Original evidence
Evidence 1När det gäller examinationer ser Göteborgs universitet generativ AI som ett verktyg och universitetets regler för studier på grundnivå och avancerad nivå tillämpas.
Privacy
Normalized value: do not share personal data or sensitive information with unreviewed services; caution also stated for Microsoft Bing Chat/Copilot
Original evidence
Evidence 1There is also some complexity regarding the use of services not offered through the university since they have not been scrutinized from, for example, legal perspectives, or in terms of security. Therefore, users of these services are advised to exercise caution. It is, for instance, very important not to share any personal data or sensitive information. This also applies to Microsoft Bing Chat/Copilot at present, even though it is offered through the university.
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.
5 source attribution
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studentportal.gu.se
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studentportal.gu.se
studentportal.gu.se
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