Policy presence
No source-backed public AI policy or guidance record is present in this profile.
The current public tracker record does not contain a source-backed claim that establishes a policy or guidance source.
Lausanne, Switzerland
University of Lausanne
University of Lausanne is listed as QS 2026 rank =212. University of Lausanne has 6 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
University of Lausanne is listed as QS 2026 rank =212. University of Lausanne has 6 source-backed AI policy claim records from 3 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Citation-ready summary
As of this public record, University AI Policy Tracker lists University of Lausanne as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 6 source-backed claims, including 6 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/university-of-lausanne.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 AI tool treatment claims.
- Evidence includes Academic integrity claims.
- Evidence includes Research claims.
- Evidence includes Teaching claims.
- Named AI services detected in public claims: Microsoft Copilot.
- Disclosure, acknowledgment, citation, or attribution language appears in the public claim text.
- Privacy, sensitive-data, or security 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
University of Lausanne has 2 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Coursework
University of Lausanne has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
University of Lausanne has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
University of Lausanne has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
University of Lausanne has 3 source-backed public claims for academic integrity; deterministic analysis status: restricted.
Approved tools
University of Lausanne has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
Named AI services
University of Lausanne has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
University of Lausanne has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
University of Lausanne has 2 source-backed public claims 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
6 reviewed evidence-backed public claim
Privacy
UNIL's AI FAQ says sensitive data under Swiss legislation must not be entered into Copilot and requires specifically approved systems, such as local models, for such processing.
Review: Agent reviewed
Normalized value: sensitive_data_not_in_copilot
Original evidence
Evidence 1By decision of the Rectorate, sensitive data as defined under Swiss legislation must not be entered into Copilot.
Ai Tool Treatment
UNIL's AI FAQ says AI can be used at UNIL if data protection, individual responsibility, and academic integrity are upheld.
Review: Agent reviewed
Normalized value: permitted_with_conditions
Original evidence
Evidence 1Can AI be used at UNIL? Yes, provided that data protection, individual responsibility and academic integrity are upheld at all times.
Ai Tool Treatment
UNIL provides institutional access to Microsoft 365 Copilot Chat and to AI features in Wooclap and Wooflash, while warning that permitted teaching and research uses are governed by each faculty or school's guidelines.
Review: Agent reviewed
Normalized value: microsoft_365_copilot_chat_wooclap_wooflash
Original evidence
Evidence 1UNIL provides institutional access to Microsoft 365 Copilot Chat (copilot.cloud.microsoft) as well as to the AI features available in Wooclap and Wooflash.
Academic Integrity
UNIL's education FAQ says current AI-detection quality is not sufficiently reliable to serve as the basis for restrictive policies or sanctions.
Review: Agent reviewed
Normalized value: detectors_not_reliable_for_sanctions
Original evidence
Evidence 1The fact that they are not sufficiently reliable means that they cannot be used as a basis for restrictive policies or the application of sanctions.
Research
UNIL's research FAQ says authors should disclose generative-AI use in a statement near the end of a manuscript and should not list AI systems as authors.
Review: Agent reviewed
Normalized value: disclose_ai_use_no_ai_authorship
Original evidence
Evidence 1AI tools must not be listed as authors; their use should be disclosed in an appropriate statement but not credited as human co-authors.
Teaching
UNIL's education FAQ says students may use generative AI for academic work only within the limits prescribed by their teacher for AI use or citation.
Review: Agent reviewed
Normalized value: student_use_subject_to_teacher_limits
Original evidence
Evidence 1Students can, for example, use generative AI to: Initiate academic work ... within the limits of what their teacher prescribes in terms of the use or citation of generative AIs.
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
FAQ: AI in Education
unil.ch
FAQ: AI in Research
unil.ch
FAQ: Using AI at UNIL
unil.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.