Policy presence
USI - Università della Svizzera italiana has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Lugano, Switzerland
USI - Università della Svizzera italiana is listed as QS 2026 rank =473. USI - Università della Svizzera italiana has 6 source-backed AI policy claim records from 4 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
v1 public contract
USI - Università della Svizzera italiana is listed as QS 2026 rank =473. USI - Università della Svizzera italiana has 6 source-backed AI policy claim records from 4 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
As of this public record, University AI Policy Tracker lists USI - Università della Svizzera italiana as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 6 source-backed claims, including 6 reviewed claims, from 4 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/usi-universita-della-svizzera-italiana.json. The entity-level confidence is 95%. 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.
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.
Deterministic source-backed dimensions derived from this record's public claims.
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.
USI - Università della Svizzera italiana has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
USI - Università della Svizzera italiana has 2 source-backed public claims for ai disclosure; deterministic analysis status: required.
USI - Università della Svizzera italiana has 3 source-backed public claims for coursework; deterministic analysis status: restricted.
USI - Università della Svizzera italiana has 4 source-backed public claims for exams; deterministic analysis status: restricted.
USI - Università della Svizzera italiana has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
USI - Università della Svizzera italiana has 2 source-backed public claims for academic integrity; deterministic analysis status: restricted.
USI - Università della Svizzera italiana has 1 source-backed public claim for approved tools; deterministic analysis status: restricted.
USI - Università della Svizzera italiana has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
USI - Università della Svizzera italiana has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
No source-backed public claim about research AI use is present in this profile.
The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.
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.
6 reviewed evidence-backed public claim
Ai Tool Treatment
Normalized value: permitted_unless_explicitly_prohibited_with_acknowledgement
Original evidence
Evidence 1As a general rule the use of generative AI tools is thus permitted, unless explicitly prohibited for a specific activity (e.g. exam, assignment, specific tasks, etc.). However, their use must always be correctly acknowledged.
Original evidence
Evidence 2The use of Gen AI is encouraged, unless for specific activities where it is explicitly prohibited. It is the responsibility of the teachers and the students to explicitly agree on the conditions of use of the Gen AI within courses and for writing dissertations, papers, etc.
Academic Integrity
Normalized value: students_follow_teacher_instructions_complete_drafting_not_permitted_unauthorized_use_academic_fraud
Original evidence
Evidence 1In general, when writing exam papers, final papers, theses, etc., students are required to strictly follow their teachers' instructions regarding the use of Gen AI tools. As a general rule, the use of Gen AI tools for the complete drafting of exam papers, dissertations, final papers, etc. is not permitted.
Original evidence
Evidence 2It is their responsibility to follow the instructions received from their teachers: unauthorised use of Gen AI tools is considered academic fraud and, as such, is subject to the penalties provided for in the respective study regulations.
Source Status
Normalized value: central_genai_guidance_with_2025_student_and_staff_recommendations
Original evidence
Evidence 1In June 2025, the Recommendations on the use of generative AI in education for USI's faculty and students have been published. These documents expand and replace previous communications of 2023.
Original evidence
Evidence 2Building on this, practical recommendations have been developed for both teaching staff and students.
Teaching
Normalized value: teachers_communicate_course_level_genai_permissions_and_syllabus_reference
Original evidence
Evidence 1Teachers are advised to clearly communicate at the beginning and during the course what students should /can /cannot do with Gen AI tools for learning activities related to their course. For this purpose, it is recommended to include a section in the course syllabus summarising the relevant information.
Privacy
Normalized value: do_not_share_confidential_documents_or_sensitive_data_with_genai
Original evidence
Evidence 1Gen AI must be used critically, competently and responsibly, paying particular attention to the trustworthiness of the answers provided, data protection, environmental sustainability aspects, and ensuring that confidential documents and sensitive data are not shared.
Original evidence
Evidence 2Users are expected to critically review AI supported outputs, ensure their accuracy, and comply with ethical standards, data protection, and copyright regulations.
Academic Integrity
Normalized value: ai_text_detectors_discouraged_suspected_misuse_uses_normal_misconduct_procedures
Original evidence
Evidence 1However, it is strongly discouraged to rely on tools designed to detect text generated with the help of Gen AI (e.g. ChatGPTzero and similar). These tools are still unreliable and of little use, as they only provide a statistical estimate without offering any definite proof of the actual use of such tools.
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.
4 source attribution
desk.usi.ch
usi.ch
content.usi.ch
content.usi.ch
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