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.
Change log
Source-backed change history with no release-to-release policy diff rows recorded yet; current claims, official sources, review state, and freshness remain visible across 0 public release records.
Current public record freshness and review state.
Université de Fribourg currently has 5 source-backed claim records and 3 official source attributions. Latest tracked changed date: May 17, 2026. No tracker diff rows are recorded in the latest public release.
This page combines all public release diffs for Université de Fribourg. Individual release snapshots remain available from their release-specific URLs.
No release-to-release policy diff rows are recorded for this university yet. The page still tracks current source-backed claims, official source attributions, review state, source freshness, and public JSON for discovery and citation.
This tracker 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.
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5 claim records
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.
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.
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.
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.
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.
3 source attributions
official_guidance Tracker checked at May 17, 2026, 5:39 PM
official_guidance Tracker checked at May 17, 2026, 5:39 PM
official_guidance Tracker checked at May 17, 2026, 5:39 PM