Policy presence
University of Parma has 1 source-backed public claim for policy presence; deterministic analysis status: unclear.
Parma, Italy
University of Parma
University of Parma has 5 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 5 reviewed claims. Last checked May 25, 2026.
University of Parma AI policy short answer
v1 public contract
University of Parma has 5 source-backed AI policy claims from 3 official source attributions, including 5 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 25, 2026. Discovery context: University of Parma is listed as QS 2026 rank 1001-1200.
Citation-ready summary
As of this public record, University AI Policy Tracker lists University of Parma as an agent-reviewed AI policy record last checked on May 25, 2026 and last changed on May 25, 2026. The record contains 5 source-backed claims, including 5 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/university-of-parma.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 Source status claims.
- Evidence includes Academic integrity claims.
- Evidence includes AI tool treatment claims.
- Evidence includes Privacy 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
University of Parma has 1 source-backed public claim for ai disclosure; deterministic analysis status: required.
Coursework
University of Parma has 1 source-backed public claim for coursework; deterministic analysis status: required.
Exams
University of Parma has 3 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
University of Parma has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Academic integrity
University of Parma has 2 source-backed public claims for academic integrity; deterministic analysis status: required.
Approved tools
University of Parma has 2 source-backed public claims for approved tools; deterministic analysis status: required.
Named AI services
University of Parma has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
Teaching guidance
University of Parma has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
University of Parma has 3 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
Source Status
University of Parma has official 2025 guidelines for responsible use of generative AI in teaching and research, approved by the Academic Senate and Board of Directors.
Review: Agent reviewed
Normalized value: Official AI guidelines approved 2025-04-29; effective page date 2025-05-06
Evidence originale
Evidence 1Approvate dal Senato Accademico e dal Consiglio di Amministrazione nelle sedute del 29 aprile 2025. Il presente documento ... supportare il corpo docente, le studentesse e gli studenti dell'Ateneo di Parma nell'uso degli strumenti che si basano sull'IA.
Affichage localise only
Approved by the Academic Senate and Board of Directors on 29 April 2025; the document supports University of Parma teachers and students in using AI-based tools.
Academic Integrity
For academic materials, the guidelines say use of generative AI must be explicitly declared with the tool, version, and purpose; not declaring AI use is described as a violation of academic integrity rules.
Review: Agent reviewed
Normalized value: Declare AI use; non-disclosure violates academic integrity rules
Evidence originale
Evidence 1L'utilizzo di IA generativa per creare materiali accademici deve essere dichiarato esplicitamente, con indicazione chiara dello strumento utilizzato, della versione e dello scopo. Non dichiarare l'uso di IA costituisce una violazione delle norme sull'integrita accademica.
Affichage localise only
Use of generative AI to create academic materials should be explicitly declared with the tool, version, and purpose; non-disclosure is a violation of academic integrity rules.
Ai Tool Treatment
The guidelines treat generative AI as support for teaching, learning, and research, not a replacement for human work; AI-generated content should be examined, approved, modified, and supervised by a human author.
Review: Agent reviewed
Normalized value: AI is support, not substitute; human oversight required for AI-generated content
Evidence originale
Evidence 1l'IA deve essere finalizzata a supportare le docenti e i docenti, le studentesse e gli studenti e non sostituirsi all'attivita umana ... tutti i contenuti generati dall'IA devono sempre essere esaminati, approvati, modificati e supervisionati da un autore umano.
Affichage localise only
AI should support teachers and students rather than replace human activity; AI-generated content should be examined, approved, modified, and supervised by a human author.
Academic Integrity
The guidelines list non-appropriate or non-permitted academic uses of AI, including creating entire written content with AI, using unrevised AI-generated code, using AI-generated code in university exams, and using AI to evaluate exam or selection materials.
Review: Agent reviewed
Normalized value: Non-appropriate uses include whole written content, unrevised AI code, AI-generated code in exams, and AI grading in exams/selections
Evidence originale
Evidence 1Gli strumenti di IA non devono essere utilizzati in alcun modo che possa violare gli standard o le politiche universitarie esistenti ... non possono essere utilizzati per creare interi contenuti scritti ... non e in alcun modo consentito utilizzarli per produrre codice ... in sede di esame universitario.
Affichage localise only
The guidelines say AI tools should not violate existing university standards or policies, should not create entire written contents, and are not permitted to produce code in university exams.
Privacy
The guidelines tell teachers and students to use AI tools safely and appropriately, avoiding confidential information, unpublished research data, and third-party personal data unless confidentiality, consent, or another suitable legal basis is in place.
Review: Agent reviewed
Normalized value: Avoid confidential, unpublished research, and third-party personal data in AI tools unless safeguards or legal basis apply
Evidence originale
Evidence 1La responsabilita e la privacy: le docenti e i docenti, le studentesse e gli studenti devono impegnarsi a utilizzare strumenti di IA in modo sicuro e appropriato, evitando di inserire informazioni riservate ... dati di ricerche non ancora pubblicate ... non e consentito inserire dati personali di altri soggetti a meno che questi non abbiano fornito il proprio consenso.
Affichage localise only
Teachers and students should use AI tools safely and appropriately, avoiding confidential information and unpublished research data; third-party personal data should not be entered unless consent or another legal basis exists.
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
Artificial Intelligence Guidelines
unipr.it
Linee guida per l'utilizzo responsabile dell'intelligenza artificiale in ambito didattico e di ricerca
unipr.it
Linee guida per l'utilizzo responsabile dell'intelligenza artificiale in ambito didattico e di ricerca
unipr.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.