Policy presence
University of Naples - Federico II has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Naples, Italy
University of Naples - Federico II is listed as QS 2026 rank =379. University of Naples - Federico II has 7 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.
v1 public contract
University of Naples - Federico II is listed as QS 2026 rank =379. University of Naples - Federico II has 7 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.
As of this public record, University AI Policy Tracker lists University of Naples - Federico II as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 2026. The record contains 7 source-backed claims, including 7 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/university-of-naples-federico-ii.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.
University of Naples - Federico II has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
University of Naples - Federico II has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
University of Naples - Federico II has 3 source-backed public claims for coursework; deterministic analysis status: restricted.
University of Naples - Federico II has 3 source-backed public claims for exams; deterministic analysis status: restricted.
University of Naples - Federico II has 2 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
University of Naples - Federico II has 3 source-backed public claims for academic integrity; deterministic analysis status: blocked.
University of Naples - Federico II has 3 source-backed public claims for approved tools; deterministic analysis status: restricted.
University of Naples - Federico II has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
University of Naples - Federico II has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
University of Naples - Federico II has 2 source-backed public claims for research guidance; deterministic analysis status: restricted.
University of Naples - Federico II has 1 source-backed public claim for security and procurement; deterministic analysis status: conditionally_allowed.
Coverage score measures breadth of public, source-backed coverage only. It is not a policy quality, strictness, legal adequacy, safety, or compliance score.
7 reviewed evidence-backed public claim
Source Status
Normalized value: university_wide_ai_guidelines_approved
Original evidence
Evidence 1con delibera n. 31 del 26.11.2025, sono state approvate dal Senato Accademico, previo parere favorevole del Consiglio di Amministrazione, espresso in pari data con delibera n. 86, le Prime linee guida per l'utilizzo dei Sistemi di Intelligenza Artificiale
Localized display only
The Academic Senate approved the first AI guidelines after a favorable Board of Directors opinion.
Teaching
Normalized value: teaching_support_allowed_ai_evaluation_prohibited
Original evidence
Evidence 1Si può utilizzare l'IA a supporto della didattica, per la preparazione e l'erogazione di contenuti didattici e per la generazione di esercizi, domande, questionari, con l'obbligo di supervisione umana dell'output e delle fonti, nonché di etichettatura del materiale generato. È vietato l'impiego dell'IA per effettuare valutazioni.
Localized display only
AI may support teaching materials and exercises with human supervision and labeling; use of AI to perform evaluations is prohibited.
Academic Integrity
Normalized value: student_ai_use_requires_disclosure_and_teacher_authorization_for_assessment_or_thesis
Original evidence
Evidence 1Per gli studenti, l'IA può essere esclusivamente uno strumento di supporto allo studio e all'apprendimento... non è consentito ricorrere alla IA per generare qualsiasi contenuto destinato a prove di valutazione o tesi senza dichiarazione esplicita e senza l'autorizzazione del docente responsabile.
Localized display only
Students may use AI only as support for study and learning; AI-generated assessment or thesis content requires explicit declaration and teacher authorization.
Privacy
Normalized value: llm_training_guardrail_and_sensitive_data_prompt_ban
Original evidence
Evidence 1I sistemi di intelligenza artificiale utilizzabili all'interno dell'Ateneo devono prevedere, nel relativo contratto o accordo di fornitura, la garanzia esplicita che i dati forniti dagli utenti non vengano utilizzati per l'addestramento dei modelli linguistici (LLM), salvo specifiche e puntuali autorizzazioni da parte del CSI e del DPO di Ateneo.
Localized display only
Contracts or supply agreements must guarantee that user-provided data are not used to train LLMs unless specifically authorized by CSI and the university DPO.
Research
Normalized value: researcher_responsibility_and_no_ai_authorship
Original evidence
Evidence 1resta piena responsabilità dei ricercatori garantire che l'utilizzo della IA sia coerente con i principi di integrità scientifica della ricerca... Un sistema di intelligenza artificiale non può essere considerato autore o coautore di pubblicazioni scientifiche.
Localized display only
Researchers remain responsible for integrity and quality; an AI system cannot be considered an author or co-author of scientific publications.
Ai Tool Treatment
Normalized value: crui_authorized_ai_systems_listed
Original evidence
Evidence 1L'Ateneo dispone dei seguenti sistemi di intelligenza artificiale autorizzati e gestiti secondo gli accordi CRUI in vigore: OpenAI - ChatGPT Edu / ChatGPT Enterprise; Microsoft Copilot; Eventuali altri strumenti di IA generativa o assistiva approvati dal CSI
Localized display only
The guidelines list ChatGPT Edu/Enterprise, Microsoft Copilot, and other CSI-approved AI tools under CRUI agreements.
Other
Normalized value: ai_use_responsibility_and_disciplinary_consequence
Original evidence
Evidence 1La responsabilità circa il corretto utilizzo degli strumenti di IA all'interno dell'Ateneo è in capo a ciascun utente, per gli ambiti di rispettiva competenza... Il mancato rispetto di quanto previsto dalle presenti linee guida rappresenta una violazione degli obblighi di comportamento ed è soggetto... a responsabilità disciplinare
Localized display only
Each user is responsible for correct AI-tool use; non-compliance with the guidelines is subject to disciplinary responsibility under applicable rules.
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.
2 source attribution
unina.it
unina.it
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 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.