Policy presence
Catania University has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Catania, Italy
Catania University has 5 source-backed AI policy claims from 3 official source attributions. Review state: agent reviewed; 5 reviewed claims. Last checked May 21, 2026.
v1 public contract
Catania University 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 21, 2026. Discovery context: Catania University is listed as QS 2026 rank 851-900.
As of this public record, University AI Policy Tracker lists Catania University as an agent-reviewed AI policy record last checked on May 21, 2026 and last changed on May 21, 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/catania-university.json. The entity-level confidence is 84%. 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.
Catania University has 2 source-backed public claims for policy presence; deterministic analysis status: unclear.
No source-backed public claim about AI disclosure or acknowledgement is present in this profile.
The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.
Catania University has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Catania University has 4 source-backed public claims for exams; deterministic analysis status: recommended.
Catania University has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
Catania University has 1 source-backed public claim for academic integrity; deterministic analysis status: recommended.
Catania University has 2 source-backed public claims for approved tools; deterministic analysis status: recommended.
Catania University has 3 source-backed public claims for named ai services; deterministic analysis status: restricted.
Catania University has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
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.
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.
5 reviewed evidence-backed public claim
Ai Tool Treatment
Normalized value: verify_llm_sources
Original evidence
Evidence 1FAI ATTENZIONE: le fonti proposte da un LLM vanno sempre verificate. L'obiettivo di questa fase non e ancora avere tutte le risposte giuste, ma capire cosa vale la pena approfondire.
Localized display only
The guide warns that sources proposed by an LLM must always be verified.
Privacy
Normalized value: avoid_personal_sensitive_data_sharing
Original evidence
Evidence 1Infine, il suo utilizzo deve essere evitato quando comporta la condivisione di dati personali o sensibili di studenti e docenti, in linea con i principi di tutela della privacy e sicurezza dei dati.
Localized display only
The guide says AI use should be avoided when it involves sharing personal or sensitive data of students or faculty.
Academic Integrity
Normalized value: do_not_replace_student_work
Original evidence
Evidence 1L'IA non dovrebbe essere utilizzata per sostituire lo studio personale, la riflessione critica e la produzione autonoma di elaborati, come temi, relazioni o esercizi valutativi.
Localized display only
The guide says AI should not be used to replace personal study, critical reflection, or autonomous production of assessed work.
Ai Tool Treatment
Normalized value: ai_as_support_not_substitute
Original evidence
Evidence 1La rielaborazione dei contenuti e stata supportata dall'utilizzo di un Large Language Model, impiegato come strumento di supporto cognitivo e metacognitivo, e non come sostituto del pensiero critico e riflessivo umano.
Localized display only
The guide says a Large Language Model was used as cognitive and metacognitive support, not as a substitute for human critical and reflective thinking.
Teaching
Normalized value: departmental_ai_teaching_guidance
Original evidence
Evidence 1Questa sezione del sito nasce per presentare progetti, sperimentazioni e materiali sviluppati nell'ambito del Dipartimento di Matematica e Informatica, dedicati all'innovazione della didattica universitaria e all'uso consapevole dell'Intelligenza Artificiale nei processi di insegnamento e apprendimento.
Localized display only
This site section presents DMI projects, experiments, and materials on university teaching innovation and conscious AI use in teaching and learning.
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.
3 source attribution
web.dmi.unict.it
web.dmi.unict.it
web.dmi.unict.it
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