Policy presence
Università di Padova has 4 source-backed public claims for policy presence; deterministic analysis status: unclear.
Padova, Italy
Università di Padova
Università di Padova is listed as QS 2026 rank =233. Università di Padova has 5 source-backed AI policy claim records from 2 official source attributions. The public record preserves original-language evidence snippets, source URLs, snapshot hashes, confidence, and review state.
Short answer
v1 public contract
Università di Padova is listed as QS 2026 rank =233. Università di Padova has 5 source-backed AI policy claim records from 2 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 Università di Padova as an agent-reviewed AI policy record last checked on May 15, 2026 and last changed on May 15, 2026. The record contains 5 source-backed claims, including 5 reviewed claims, from 2 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-di-padova.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 Academic integrity claims.
- Evidence includes Privacy claims.
- Evidence includes Research 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.
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 di Padova has 2 source-backed public claims for ai disclosure; deterministic analysis status: recommended.
Coursework
Università di Padova has 3 source-backed public claims for coursework; deterministic analysis status: conditionally_allowed.
Exams
Università di Padova has 3 source-backed public claims for exams; deterministic analysis status: conditionally_allowed.
Privacy and data entry
Università di Padova has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
Università di Padova has 1 source-backed public claim for academic integrity; deterministic analysis status: recommended.
Approved tools
Università di Padova has 1 source-backed public claim for approved tools; deterministic analysis status: recommended.
Named AI services
Università di Padova has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
Università di Padova has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
Università di Padova has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
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
5 reviewed evidence-backed public claim
Academic Integrity
The guidance does not allow GenAI-generated content for assessments or theses without explicit disclosure and authorization by the responsible teacher.
Review: Agent reviewed
Normalized value: assessment_or_thesis_genai_requires_disclosure_and_teacher_authorization
Original evidence
Evidence 1Non è consentito fare ricorso alla GenAI per generare contenuti destinati a prove di valutazione o tesi senza dichiarazione e senza autorizzazione
Localized display only
GenAI-generated content for assessments or theses is not allowed without disclosure and authorization.
Privacy
The guidance says personal data and confidential information should not be entered into GenAI tools unless explicitly authorized by the university.
Review: Agent reviewed
Normalized value: no_personal_or_confidential_data_without_university_authorization
Original evidence
Evidence 1le informazioni riservate, che non devono essere immesse in strumenti di GenAI salvo esplicita autorizzazione dell’Ateneo
Localized display only
Confidential information must not be entered into GenAI tools unless the university explicitly authorizes it.
Research
The research guidelines state that GenAI users retain scientific, ethical, and legal responsibility for research decisions, processes, and content, and that GenAI cannot be listed as an author or co-author of research products.
Review: Agent reviewed
Normalized value: research_users_retain_responsibility_and_genai_not_author
Original evidence
Evidence 1Chi utilizza la GenAI mantiene la piena responsabilità scientifica, etica e legale... La GenAI non può, in alcun caso, essere indicata come autore o co-autore
Localized display only
GenAI users retain full scientific, ethical, and legal responsibility; GenAI cannot be listed as author or co-author.
Ai Tool Treatment
Università di Padova has an Ateneo-level guidance document intended to orient GenAI use in teaching, learning, and research.
Review: Agent reviewed
Normalized value: ateneo_genai_guidance_for_teaching_learning_research
Original evidence
Evidence 1Il presente documento ha lo scopo di orientare l’uso della GenAI nelle attività di insegnamento, apprendimento e ricerca
Localized display only
The document is intended to guide GenAI use in teaching, learning, and research.
Teaching
The guidance assigns teaching staff responsibility to clearly indicate permitted and non-permitted GenAI uses in the syllabus and at the start of each course.
Review: Agent reviewed
Normalized value: teachers_indicate_permitted_genai_use_in_syllabus_and_course_start
Original evidence
Evidence 1Il personale docente ha la responsabilità di indicare chiaramente a studentesse e studenti, nel syllabus e all’inizio di ciascun insegnamento, le modalità consentite e non consentite
Localized display only
Teaching staff are responsible for clearly indicating allowed and disallowed uses in the syllabus and at the beginning of each course.
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
2 source attribution
Linee guida per l'utilizzo dell'Intelligenza Artificiale Generativa nella Ricerca
wwwassets.unipd.it
Politiche di indirizzo dell'Ateneo di Padova per un uso responsabile dell'Intelligenza Artificiale Generativa nella didattica e nella ricerca
ssu.elearning.unipd.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.