Policy presence
University of Geneva has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Geneva, Switzerland
University of Geneva
University of Geneva is listed as QS 2026 rank =155. University of Geneva has 10 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.
Short answer
v1 public contract
University of Geneva is listed as QS 2026 rank =155. University of Geneva has 10 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.
Citation-ready summary
As of this public record, University AI Policy Tracker lists University of Geneva as an agent-reviewed AI policy record last checked on May 14, 2026 and last changed on May 14, 2026. The record contains 10 source-backed claims, including 10 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-geneva.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 Academic integrity claims.
- Evidence includes Privacy claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Teaching claims.
- No specific AI service name is highlighted by the current public claim text.
- 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.
- 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 Geneva has 3 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
University of Geneva has 5 source-backed public claims for coursework; deterministic analysis status: blocked.
Exams
University of Geneva has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
University of Geneva has 4 source-backed public claims for privacy and data entry; deterministic analysis status: blocked.
Academic integrity
University of Geneva has 4 source-backed public claims for academic integrity; deterministic analysis status: blocked.
Approved tools
University of Geneva has 1 source-backed public claim for approved tools; deterministic analysis status: allowed.
Named AI services
University of Geneva has 4 source-backed public claims for named ai services; deterministic analysis status: blocked.
Teaching guidance
University of Geneva has 5 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
University of Geneva 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
10 reviewed evidence-backed public claim
Academic Integrity
UNIGE says students and staff are personally responsible for their use of generative AI and for final validation of work or decisions generated or assisted by generative AI.
Review: Agent reviewed
Normalized value: students_staff_personally_responsible_for_genai_use_and_final_validation
Original evidence
Evidence 1UNIGE students and staff are personally responsible for their use of generative AI. The final validation of each text, image, video or other work or decision generated or assisted by a generative AI tool is the responsibility of the user.
Privacy
UNIGE's generative AI principles require respecting applicable laws and paying particular attention to data protection, intellectual property, official secrecy, and confidentiality.
Review: Agent reviewed
Normalized value: respect_laws_data_protection_ip_official_secrecy_confidentiality
Original evidence
Evidence 1Applicable laws must be respected, as well as any specific contractual clauses (i.e. publishing contracts). Particular attention must be paid to data protection, copyright/intellectual property, official secrecy and confidentiality.
Privacy
Within UNIGE's Faculty of Science, sensitive data such as personal data must not be disclosed to a public AI tool that does not guarantee confidentiality.
Review: Agent reviewed
Normalized value: faculty_of_science_sensitive_personal_data_not_disclosed_public_ai_without_confidentiality
Original evidence
Evidence 1Sensitive data, such as personal data, must not be disclosed to a public artificial intelligence tool that does not guarantee confidentiality.
Ai Tool Treatment
UNIGE states that it supports the development and use of artificial intelligence and uses generative AI where it represents an opportunity in research, teaching, learning, or administration.
Review: Agent reviewed
Normalized value: supports_ai_and_uses_genai_where_opportunity
Original evidence
Evidence 1The University of Geneva (UNIGE) supports the development and use of artificial intelligence (AI). Within the University, generative AI is used wherever it represents an opportunity, whether in research, teaching, learning or administration.
Academic Integrity
Within UNIGE's Faculty of Science, a formal declaration of generative AI use is required for all bachelor's, master's, or doctoral work and for academic assessment or production leading to a degree or official title.
Review: Agent reviewed
Normalized value: faculty_of_science_formal_genai_declaration_required_degree_title_work
Original evidence
Evidence 1In all cases, a formal declaration of GAI use is required for all bachelor's, master's, or doctoral work, as well as for any academic assessment or production leading to the award of a degree or official title.
Teaching
UNIGE states that faculties and interfaculty centers decide how AI is integrated into teaching and set specific conditions for using generative AI tools in research, teaching, and learning activities.
Review: Agent reviewed
Normalized value: faculties_interfaculty_centers_set_ai_teaching_and_learning_conditions
Original evidence
Evidence 1It is up to faculties and interfaculty centers to decide how AI is to be integrated into their teaching activities, and to draw up specific conditions for the use of generative AI tools for research, teaching and learning activities.
Academic Integrity
UNIGE formally expects full transparency about AI tool use in academic work through appropriate citation rules, with possible description of the methodology used with AI support.
Review: Agent reviewed
Normalized value: full_transparency_ai_tool_use_academic_work_citation_rules
Original evidence
Evidence 1Full transparency regarding the use of AI tools in academic work is formally expected through appropriate use of citation rules. These can be accompanied by a description of the methodology used to carry out the work with the support of the AI tool.
Teaching
Within UNIGE's Faculty of Science, teachers are free to allow or prohibit AI use in courses and assessed assignments, and must define the framework and referencing requirements when generative AI is permitted.
Review: Agent reviewed
Normalized value: faculty_of_science_teachers_allow_prohibit_ai_define_framework_referencing
Original evidence
Evidence 1Teachers are free to allow or prohibit the use of artificial intelligence in their courses and for assignments given for assessment purposes. When the use of GAI is permitted, teachers must define the framework for its use, indicate the referencing requirements, and, where applicable, require that prompts be saved and submitted.
Teaching
UNIGE guidance says academic work and learning assessment must include clear instructions about whether students may use generative AI tools, and that use of those tools must be supervised.
Review: Agent reviewed
Normalized value: academic_work_assessment_clear_instructions_genai_use_supervised
Original evidence
Evidence 1The completion of academic work (homework, essays, reports, etc.) and the assessment of learning (exams, continuous assessment, dissertations, etc.) must be accompanied by clear instructions regarding the possibility of students using generative AI tools. Their use must be supervised.
Privacy
UNIGE's Digital University practical guide warns that content submitted to generative AI may be accessible to the tool owner or exposed in a data breach, so users need to understand what can and cannot be shared.
Review: Agent reviewed
Normalized value: generative_ai_prompt_content_may_be_accessed_or_exposed_understand_share_limits
Original evidence
Evidence 1Any content submitted to a generative AI tool may be accessed by the personnel of the owning company, or even more in the event of a data breach. It is therefore crucial to understand what can and cannot be shared with AI.
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
5 source attribution
Faculty of Science Directive on the Use of Generative Artificial Intelligence - Faculty of Science - UNIGE
unige.ch
Recommendations of the Faculty of Science on the use of generative artificial intelligence - Faculty of Science - UNIGE
unige.ch
Risks - Universite numerique - UNIGE
unige.ch
Statement on artificial intelligence - Universite de Geneve
unige.ch
Use of generative artificial intelligence at UNIGE - Universite de Geneve
unige.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.