Policy presence
University of Florence has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Open, evidence-backed AI policy records for public reuse.
Florence, Italy
University of Florence is listed as QS 2026 rank =404. University of Florence 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.
v1 public contract
University of Florence is listed as QS 2026 rank =404. University of Florence 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.
As of this public record, University AI Policy Tracker lists University of Florence as an agent-reviewed AI policy record last checked on May 16, 2026 and last changed on May 16, 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/university-of-florence.json. The entity-level confidence is 93%. 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 Florence has 5 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.
University of Florence has 3 source-backed public claims for coursework; deterministic analysis status: restricted.
University of Florence has 3 source-backed public claims for exams; deterministic analysis status: restricted.
University of Florence has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
University of Florence has 1 source-backed public claim for academic integrity; deterministic analysis status: recommended.
University of Florence has 1 source-backed public claim for approved tools; deterministic analysis status: restricted.
University of Florence has 2 source-backed public claims for named ai services; deterministic analysis status: restricted.
University of Florence has 4 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
Privacy
Normalized value: no_personal_or_confidential_data_in_ai_prompts_uploads_or_credentials
Original evidence
Evidence 1Nell'utilizzo di IA ai fini della didattica, non devono mai essere forniti o diffusi dati personali o riservati attraverso il prompting, il caricamento di files o la condivisione di credenziali.
Localized display only
For teaching use of AI, personal or confidential data must never be supplied or disseminated through prompts, file uploads, or credential sharing.
Ai Tool Treatment
Normalized value: student_ai_use_only_when_course_instructor_authorizes
Original evidence
Evidence 1Gli studenti possono utilizzare l'IA solo per gli scopi e secondo le modalita esplicitamente indicate dal docente relativamente alle attivita didattiche previste dal corso. Se il docente non da nessuna indicazione sull'utilizzo delle tecnologie di IA per le attivita didattiche del corso, cio significa che il loro uso per lo svolgimento delle attivita didattiche previste non e consentito.
Localized display only
Students may use AI only as explicitly indicated by the instructor; absent instructions means AI use for the course activity is not permitted.
Source Status
Normalized value: university_ai_teaching_study_guidance_issued
Original evidence
Evidence 1DECRETA Sono emanate le "Linee di indirizzo sull'uso dell'Intelligenza Artificiale nella didattica e per attivita di studio."
Localized display only
The rectoral decree states that the AI teaching and study guidance is issued.
Original evidence
Evidence 2esprime parere favorevole in merito all'adozione delle "Linee di indirizzo sull'uso dell'Intelligenza Artificiale nella didattica e per attivita di studio" nel testo allegato al presente verbale
Localized display only
The governance extract records favorable action on adoption of the AI teaching and study guidance.
Academic Integrity
Normalized value: improper_ai_reliance_plagiarism_or_integrity_issue
Original evidence
Evidence 1Qualsiasi utilizzo dell'IA generativa che comporti un aggiramento delle proprie responsabilita nello studio e considerato una violazione dell'integrita accademica. Gli studenti devono essere consapevoli che presentare come proprio un lavoro realizzato interamente o in gran parte dall'IA generativa rappresenta una forma di plagio.
Localized display only
Improper AI use that avoids student responsibility is an academic integrity violation; presenting AI-made work as one's own is plagiarism.
Teaching
Normalized value: instructors_set_course_ai_use_policies
Original evidence
Evidence 1I docenti hanno la facolta di stabilire in autonomia le politiche che regolano l'uso degli strumenti di IA nei propri corsi, fatto salvo quanto stabilito nei Principi generali.
Localized display only
Instructors may set course policies for AI use, subject to the guidance's general principles.
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
unifi.it
unifi.it
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