Policy presence
Université de Fribourg has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Fribourg, Switzerland
Université de Fribourg
Université de Fribourg has 5 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 5 reviewed claims. Last checked May 17, 2026.
Université de Fribourg AI policy short answer
v1 public contract
Université de Fribourg has 5 source-backed AI policy claims from 3 official source attributions, including 5 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 17, 2026. Discovery context: Université de Fribourg is listed as QS 2026 rank 642.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Université de Fribourg as an agent-reviewed AI policy record last checked on May 17, 2026 and last changed on May 17, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 3 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/universite-de-fribourg.json. The entity-level confidence is 94%. 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.
Policy signals in this record
- Evidence includes Privacy claims.
- Evidence includes Academic integrity claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Teaching claims.
- Evidence includes Research claims.
- Named AI services detected in public claims: 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.
Review: Agent reviewed
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.
Review: Machine candidate
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
Université de Fribourg has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
Université de Fribourg has 3 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Université de Fribourg has 3 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
Université de Fribourg has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Université de Fribourg has 1 source-backed public claim for academic integrity; deterministic analysis status: required.
Approved tools
Université de Fribourg has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.
Named AI services
Université de Fribourg has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Université de Fribourg has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Research guidance
Université de Fribourg has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.
Security and procurement
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.
Evidence-backed claims
5 reviewed evidence-backed public claim
Privacy
UniFR's Data Protection Officers recommend not uploading sensitive data, named personal documents or data, confidential or secret materials, or documents whose exclusivity should be preserved into generative AI tools.
Review: Agent reviewed
Normalized value: do-not-upload-sensitive-personal-confidential-or-exclusive-data
Original evidence
Evidence 1Recommandations de prudence de la part des Data Protection Officers (DPO) : Ne pas télécharger des données sensibles ... Ne pas donner des documents ou données contenant des noms de personnes ... Ne pas télécharger des documents ou données confidentiels ... ou couverts par un secret ... Ne pas télécharger des documents ou données dont on veut garder l'exclusivité.
Localized display only
DPO caution recommendations say not to upload sensitive data, named personal data, confidential/secret materials, or documents whose exclusivity should be kept.
Academic Integrity
When generative AI use is authorized in academic work, UniFR expects full transparency through a specific declaration and field-appropriate citation norms; undeclared use is treated as a violation of scientific integrity rules.
Review: Agent reviewed
Normalized value: authorized-use-requires-transparency-undeclared-use-integrity-violation
Original evidence
Evidence 1En cas d'autorisation de l'IA générative ... Les étudiant-e-s doivent faire preuve d'une transparence totale quant à son utilisation, notamment via une déclaration spécifique en suivant les normes de citation de leur domaine ... L'utilisation non déclarée des IA génératives est une violation des règles de l’intégrité scientifique.
Localized display only
If generative AI is authorized, students must be fully transparent via a specific declaration and field citation norms; undeclared use violates scientific integrity rules.
Ai Tool Treatment
Université de Fribourg IT presents several AI services for its community, including Microsoft Copilot Chat, Adobe Firefly/Express, a local LLM implementation, Apertus, and GitHub Copilot Pro; Adobe Firefly is reserved for UniFR employees while Adobe Express is available to staff and students.
Review: Agent reviewed
Normalized value: approved-or-presented-ai-services
Original evidence
Evidence 1La DIT-ER vous propose : Microsoft Copilot Chat ... Génération d’images : Adobe Firefly / Adobe Express ... Implémentation locale d'un LLM ... Apertus ... Github Copilot Pro ... Adobe Firefly est réservé aux employé·es de l'UniFR.
Localized display only
UniFR IT lists Microsoft Copilot Chat, Adobe Firefly/Express, a local LLM, Apertus, and GitHub Copilot Pro; Adobe Firefly is reserved for employees.
Teaching
For generative AI in teaching, the Rectorate sets a common framework, while faculties, departments, centres and institutes define more precise conditions of use; rules for academic work and assessment are to be communicated to students.
Review: Agent reviewed
Normalized value: central-framework-local-conditions-communicated-to-students
Original evidence
Evidence 1Le Rectorat pose un cadre afin d’assurer des bases communes, mais il est du ressort des facultés, départements, centres et instituts, de définir de manière plus précise les conditions d’utilisation de l’IA générative. Des règles précises doivent réglementer l’emploi des IA génératives ... Elles sont communiquées aux étudiant-e-s.
Localized display only
The Rectorate sets common bases, while faculties and departments define precise conditions; rules must regulate use and be communicated to students.
Research
UniFR's research guidance states that researchers should approach generative AI use cautiously, verify AI-generated outputs, and adhere to relevant ethical considerations, regulations, and guidelines.
Review: Agent reviewed
Normalized value: researchers-responsible-for-cautious-verification-and-guideline-adherence
Original evidence
Evidence 1Les chercheurs doivent s'assurer de l'exactitude et de la fiabilité du contenu généré par l'IA et rester conscients des considérations éthiques, des réglementations et des lignes directrices ... La responsabilité de vérifier les résultats de l'IA et d'adhérer aux normes pertinentes incombe en fin de compte aux chercheurs.
Localized display only
Researchers must ensure AI-generated content is accurate and reliable, stay aware of ethical/regulatory guidance, and are responsible for verifying AI outputs.
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
3 source attribution
IA générative | Direction IT | Université de Fribourg
unifr.ch
Principes généraux et recommandations de l'utilisation des IA génératives dans l'enseignement
unifr.ch
Utilisation de l'IA générative dans la recherche | Service Promotion Recherche | Université de Fribourg
unifr.ch
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.
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.