Policy presence
Università degli Studi di Perugia has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Perugia, Italy
Università degli Studi di Perugia
Università degli Studi di Perugia has 6 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 6 reviewed claims. Last checked May 21, 2026.
Università degli Studi di Perugia AI policy short answer
v1 public contract
Università degli Studi di Perugia has 6 source-backed AI policy claims from 3 official source attributions, including 6 reviewed claims. The record review state is agent reviewed; original-language evidence snippets, source URLs, confidence, and public JSON are preserved for citation. Last checked May 21, 2026. Discovery context: Università degli Studi di Perugia is listed as QS 2026 rank 801-850.
Citation-ready summary
As of this public record, University AI Policy Tracker lists Università degli Studi di Perugia as an agent-reviewed AI policy record last checked on May 21, 2026 and last changed on May 21, 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/universita-degli-studi-di-perugia.json. The entity-level confidence is 96%. 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 Source status claims.
- Evidence includes Academic integrity claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Privacy claims.
- Evidence includes Teaching claims.
- No specific AI service name is highlighted by the current 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
Università degli Studi di Perugia has 3 source-backed public claims for ai disclosure; deterministic analysis status: required.
Coursework
Università degli Studi di Perugia has 4 source-backed public claims for coursework; deterministic analysis status: restricted.
Exams
Università degli Studi di Perugia has 4 source-backed public claims for exams; deterministic analysis status: restricted.
Privacy and data entry
Università degli Studi di Perugia has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Università degli Studi di Perugia has 2 source-backed public claims for academic integrity; deterministic analysis status: blocked.
Approved tools
Università degli Studi di Perugia has 2 source-backed public claims for approved tools; deterministic analysis status: recommended.
Named AI services
Università degli Studi di Perugia has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Università degli Studi di Perugia has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Università degli Studi di Perugia has 1 source-backed public claim 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
Source Status
The University of Perugia has an official institutional policy on the ethical and responsible use of generative artificial intelligence, listed in its official regulations index as issued with D.R. n. 3123 of 3 December 2025.
Review: Agent reviewed
Normalized value: official_genai_policy_issued_dr_3123_2025-12-03
Original evidence
Evidence 1Policy per l'Uso Etico e Responsabile dell'Intelligenza Artificiale Generativa dell'Università degli Studi di Perugia Emanato con D.R. n. 3123 del 3/12/2025 Policy Decalogo
Localized display only
The official regulations index lists the UniPG GenAI policy and decalogue and says it was issued with D.R. n. 3123 of 3 December 2025.
Academic Integrity
UniPG says every substantial use of GenAI must be declared and verifiable; for students, when AI use is allowed and substantial, it must be explicitly declared.
Review: Agent reviewed
Normalized value: substantial_genai_use_must_be_declared_and_verifiable
Original evidence
Evidence 1Ogni uso sostanziale della GenAI deve essere dichiarato e verificabile. Quando l'uso dell'IA è consentito e sostanziale ... le studentesse e gli studenti devono dichiararlo in modo esplicito.
Localized display only
Every substantial use of GenAI must be declared and verifiable; when students' AI use is allowed and substantial, they must explicitly declare it.
Academic Integrity
UniPG says students may use AI for a first draft or text reformulation if declared, but may not present an entirely AI-produced work as their own without personal contribution and adequate indication.
Review: Agent reviewed
Normalized value: students_may_use_ai_for_drafts_or_reformulation_if_declared_not_submit_entire_ai_work_as_own
Original evidence
Evidence 1È ammesso usare l'IA per generare una prima bozza o per riformulare un testo, mentre non è consentito presentare come proprio un elaborato prodotto interamente dall'IA senza contributo personale e senza adeguata indicazione.
Localized display only
Students may use AI to generate a first draft or reformulate text, but may not present entirely AI-produced work as their own without personal contribution and adequate indication.
Ai Tool Treatment
UniPG states that its GenAI policy applies to students, teaching staff, researchers, language experts, tutors, technical-administrative staff, and library staff, and that GenAI should support rather than replace human critical judgment.
Review: Agent reviewed
Normalized value: genai_policy_applies_broad_community_human_judgment_support_only
Original evidence
Evidence 1La Policy si applica a studenti, docenti, ricercatori, CEL, tutor, personale TA e bibliotecario. La GenAI deve supportare ma non sostituire il giudizio critico umano.
Localized display only
The policy applies to students, teaching staff, researchers, CEL, tutors, technical-administrative staff, and library staff; GenAI should support but not replace human critical judgment.
Privacy
UniPG says users may not insert or process copyright-covered materials, sensitive or confidential personal information, or other intellectual property on third-party AI platforms unless the legitimate owners have explicitly authorized it.
Review: Agent reviewed
Normalized value: no_third_party_ai_processing_of_sensitive_confidential_copyright_or_ip_without_authorization
Original evidence
Evidence 1Non è permesso inserire o elaborare materiale ... coperto da copyright, informazioni personali sensibili o riservate, né altre proprietà intellettuali ... su piattaforme di IA gestite da terze parti a meno che i legittimi proprietari ne abbiano dato esplicita autorizzazione.
Localized display only
The policy prohibits inserting or processing copyright-covered material, sensitive or confidential personal information, or other intellectual property on third-party AI platforms unless the legitimate owners have explicitly authorized it.
Teaching
UniPG says teaching staff who use AI tools should make the mode and intensity of use explicit in the syllabus and communicate GenAI-use limits to students.
Review: Agent reviewed
Normalized value: teachers_disclose_ai_use_in_syllabus_and_communicate_student_limits
Original evidence
Evidence 1Il docente che decide di avvalersi di tali strumenti ne renderà esplicita la modalità e l'intensità in Syllabus. ... il personale docente ... si impegna a comunicare ... i limiti di utilizzo di strumenti GenAI.
Localized display only
A teacher who uses AI tools should make the mode and intensity explicit in the syllabus and communicate limits on GenAI tool use to students.
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
Policy per l'Uso Etico e Responsabile dell'Intelligenza Artificiale Generativa dell'Università degli Studi di Perugia
unipg.it
Policy per l'Uso Etico e Responsabile dell'Intelligenza Artificiale Generativa dell'Università degli Studi di Perugia (ver 1.0) - Decalogo Istituzionale di Sintesi Operativa
unipg.it
Statuto e regolamenti - Università degli Studi di Perugia
unipg.it
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.