University AI Policy Tracker
APIGitHub
Language
ENZHFRPL

Fribourg, Switzerland

Université de Fribourg

Last checkedMay 17, 2026Last changedMay 17, 2026Review: Agent reviewedConfidence94%
Public JSONChange logMonthly reportCitation rulesDataset accessAnalysis JSONSubmit correction
Public JSONCitation rules
More tools

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage5 reviewedEvidence-backed claims5Reviewed5Candidate0Official sources3Source languagefrPublic JSON/api/public/v1/universities/universite-de-fribourg.json

Policy profile

Analysis JSONAnalysis review
Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence77%

Privacy and data entry

Université de Fribourg has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence80%Evidence1Sources1
Claim claim-unifr-ai-data-cautions

Academic integrity

Université de Fribourg has 1 source-backed public claim for academic integrity; deterministic analysis status: required.

RequiredMachine candidateConfidence79%Evidence1Sources1
Claim claim-unifr-ai-transparency-integrity

Approved tools

Université de Fribourg has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.

AllowedMachine candidateConfidence77%Evidence1Sources1
Claim claim-unifr-approved-ai-tools

Teaching guidance

Université de Fribourg has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence77%Evidence1Sources1
Claim claim-unifr-teaching-local-rules

Research guidance

Université de Fribourg has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence70%Evidence1Sources1
Claim claim-unifr-research-responsible-use

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

AI tools

Tools directory
Derived tool records3

Adobe Firefly

Université de Fribourg

Tool
Adobe Firefly
About
Not specified
Access
Not specified
Cost
Not specified
Availability
Allowed
Review
Agent reviewed
Sources
Source 1Source 2Source 3

Github Copilot

Université de Fribourg

Tool
Github Copilot
About
Not specified
Access
Not specified
Cost
Not specified
Availability
Allowed
Review
Agent reviewed
Sources
Source 1Source 2Source 3

Microsoft Copilot Chat

Université de Fribourg

Tool
Microsoft Copilot Chat
About
Not specified
Access
Not specified
Cost
Not specified
Availability
Allowed
Review
Agent reviewed
Sources
Source 1Source 2Source 3

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 reviewedConfidence94%

Normalized value: do-not-upload-sensitive-personal-confidential-or-exclusive-data

Last checked
May 17, 2026
Last changed
May 17, 2026

Original evidence

Evidence 1
Recommandations 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.

Source language
Francais (fr)
Snapshot hash
89570d65cd215103dcd9328e040926cca124cae0b57c7ae62f88ccf6401dc75f
Retrieved
May 17, 2026
Evidence locator
Recommandations de prudence de la part des DPO

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 reviewedConfidence93%

Normalized value: authorized-use-requires-transparency-undeclared-use-integrity-violation

Last checked
May 17, 2026
Last changed
May 17, 2026

Original evidence

Evidence 1
En 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.

Source language
Francais (fr)
Snapshot hash
c7ebf700880767097f7c207a7d851f5598f04dcab6c22c0523e1208aa88dd73c
Retrieved
May 17, 2026
Evidence locator
Principes généraux, points 5-6

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 reviewedConfidence90%

Normalized value: approved-or-presented-ai-services

Last checked
May 17, 2026
Last changed
May 17, 2026

Original evidence

Evidence 1
La 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.

Source language
Francais (fr)
Snapshot hash
89570d65cd215103dcd9328e040926cca124cae0b57c7ae62f88ccf6401dc75f
Retrieved
May 17, 2026
Evidence locator
IA générative page, tool list

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 reviewedConfidence90%

Normalized value: central-framework-local-conditions-communicated-to-students

Last checked
May 17, 2026
Last changed
May 17, 2026

Original evidence

Evidence 1
Le 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.

Source language
Francais (fr)
Snapshot hash
c7ebf700880767097f7c207a7d851f5598f04dcab6c22c0523e1208aa88dd73c
Retrieved
May 17, 2026
Evidence locator
Principes généraux, points 1-3

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 reviewedConfidence82%

Normalized value: researchers-responsible-for-cautious-verification-and-guideline-adherence

Last checked
May 17, 2026
Last changed
May 17, 2026

Original evidence

Evidence 1
Les 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.

Source language
Francais (fr)
Snapshot hash
5a67135f79748d1996eae7dbb7697c07ee43a904fd615928c86fd4d050e04738
Retrieved
May 17, 2026
Evidence locator
Utilisation de l'IA générative dans la recherche, introductory guidance

Candidate claims

0 machine or needs-review claim

Official sources

3 source attribution

Change log

Last checkedMay 17, 2026Last changedMay 17, 2026Open change log

Corrections

Open contribution pathsReview workflow
Back to universities