Lugano, Switzerland

USI - Università della Svizzera italiana

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.

Short answer

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.

Citation-ready summary

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.

Claim coverage6 reviewedSource languageenPublic JSON/api/public/v1/universities/usi-universita-della-svizzera-italiana.json

Policy signals in this record

  • Evidence includes AI tool treatment claims.
  • Evidence includes Academic integrity claims.
  • Evidence includes Source status claims.
  • Evidence includes Teaching claims.
  • Evidence includes Privacy 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.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims6Reviewed6Candidate0Official sources4

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.

Coverage score100/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence80%

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.

Policy presence

USI - Università della Svizzera italiana has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.

UnclearMachine candidateConfidence80%Evidence1Sources1

Privacy and data entry

USI - Università della Svizzera italiana has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence79%Evidence1Sources1

Approved tools

USI - Università della Svizzera italiana has 1 source-backed public claim for approved tools; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence81%Evidence1Sources1

Research guidance

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

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

Ai Tool Treatment

USI's general rule permits use of generative AI tools unless a specific activity explicitly prohibits them, and says use must be correctly acknowledged.

Review: Agent reviewedConfidence95%

Normalized value: permitted_unless_explicitly_prohibited_with_acknowledgement

Original evidence

Evidence 1
As 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 2
The 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

USI student recommendations say students must follow teachers' instructions for GenAI use in written work; complete drafting of exam papers, dissertations, or final papers with GenAI is generally not permitted, and unauthorised use is academic fraud subject to study-regulation penalties.

Review: Agent reviewedConfidence95%

Normalized value: students_follow_teacher_instructions_complete_drafting_not_permitted_unauthorized_use_academic_fraud

Original evidence

Evidence 1
In 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 2
It 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

USI maintains a public generative-AI guidance hub and June 2025 recommendations for both students and teaching staff; the Desk page says those recommendations expand and replace earlier 2023 communications.

Review: Agent reviewedConfidence94%

Normalized value: central_genai_guidance_with_2025_student_and_staff_recommendations

Original evidence

Evidence 1
In 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 2
Building on this, practical recommendations have been developed for both teaching staff and students.

Teaching

USI teaching-staff recommendations advise teachers to clearly communicate what students should, can, and cannot do with GenAI tools for course learning activities and to include relevant information in the course syllabus.

Review: Agent reviewedConfidence94%

Normalized value: teachers_communicate_course_level_genai_permissions_and_syllabus_reference

Original evidence

Evidence 1
Teachers 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

USI recommendations say GenAI use should account for data protection and that confidential documents and sensitive data should not be shared with GenAI tools.

Review: Agent reviewedConfidence93%

Normalized value: do_not_share_confidential_documents_or_sensitive_data_with_genai

Original evidence

Evidence 1
Gen 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 2
Users are expected to critically review AI supported outputs, ensure their accuracy, and comply with ethical standards, data protection, and copyright regulations.

Academic Integrity

USI teaching-staff recommendations strongly discourage reliance on tools designed to detect GenAI-generated text, saying suspected misuse should follow normal misconduct procedures defined in faculty study regulations.

Review: Agent reviewedConfidence93%

Normalized value: ai_text_detectors_discouraged_suspected_misuse_uses_normal_misconduct_procedures

Original evidence

Evidence 1
However, 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.

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

4 source attribution

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.

Last checkedMay 16, 2026Last changedMay 16, 2026Open change log

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.

Back to universities