Fisciano, Italy

University of Salerno

University of Salerno has 2 source-backed AI policy claims from 2 official source attributions. Review state: agent reviewed; 2 reviewed claims. Last checked May 20, 2026.

University of Salerno AI policy short answer

v1 public contract

University of Salerno has 2 source-backed AI policy claims from 2 official source attributions, including 2 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 20, 2026. Discovery context: University of Salerno is listed as QS 2026 rank 801-850.

Citation-ready summary

As of this public record, University AI Policy Tracker lists University of Salerno as an agent-reviewed AI policy record last checked on May 20, 2026 and last changed on May 20, 2026. The record contains 2 source-backed claims, including 2 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-salerno.json. The entity-level confidence is 86%. 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.

Claim coverage2 reviewedSource languageitPublic JSON/api/public/v1/universities/university-of-salerno.json

Policy signals in this record

  • Evidence includes Teaching claims.
  • Evidence includes Research claims.
  • No specific AI service name is highlighted by the current public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims2Reviewed2Candidate0Official sources2

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.

Coverage score60/100Coverage labelmoderate public coverageReview: Machine candidateAnalysis confidence71%

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

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Coursework

University of Salerno has 1 source-backed public claim for coursework; deterministic analysis status: conditionally_allowed.

Conditionally AllowedMachine candidateConfidence73%Evidence1Sources1

Exams

University of Salerno has 1 source-backed public claim for exams; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence73%Evidence1Sources1

Privacy and data entry

University of Salerno has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence73%Evidence1Sources1

Academic integrity

No source-backed public claim about academic-integrity treatment of AI use is present in this profile.

The current public tracker record does not contain claim evidence about AI use under academic integrity, misconduct, dishonesty, plagiarism, or cheating rules.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Approved tools

No source-backed public claim identifying approved or licensed AI tools is present in this profile.

The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Named AI services

No source-backed public claim naming a specific AI service is present in this profile.

The current public tracker record does not contain claim evidence naming a specific AI service.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

Research guidance

University of Salerno has 1 source-backed public claim for research guidance; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence68%Evidence1Sources1

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.

Not MentionedMachine candidateConfidence0%Evidence0Sources0

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

2 reviewed evidence-backed public claim

Teaching

University of Salerno has an official 2024/2025 course page for a master's course titled International Law, Cybersecurity and Ethics of Artificial Intelligence; the course objectives describe AI, cybersecurity, governance, data protection, and trustworthy AI topics. This is course-level teaching evidence, not a university-wide AI-use policy.

Review: Agent reviewedConfidence86%

Normalized value: course_level_ai_ethics_teaching_source

Original evidence

Evidence 1
IL CORSO MIRA A FORNIRE AGLI STUDENTI LE CONOSCENZE, LE COMPETENZE E I QUADRI CONCETTUALI NECESSARI PER AFFRONTARE LE DIMENSIONI GIURIDICHE, POLITICHE E SOCIALI DELLO SVILUPPO E DELL'IMPLEMENTAZIONE DEI SISTEMI DI CYBERSECURITY E INTELLIGENZA ARTIFICIALE (IA-AI), NEL DIRITTO INTERNAZIONALE ED EUROPEO, EVIDENZIANDO LE IMPLICAZIONI SUL PIANO ETICO.

Localized display only

The course aims to give students knowledge and conceptual frameworks for the legal, political, and social dimensions of cybersecurity and artificial-intelligence systems, with ethical implications.

Research

University of Salerno's official funded-project listing includes an active DIEM project on generative AI and university mathematics teaching, funded by university funds. This supports a research/teaching source-status claim only, not binding student or staff AI policy.

Review: Agent reviewedConfidence80%

Normalized value: active_genai_teaching_research_project

Original evidence

Evidence 1
INTELLIGENZA GENERATIVA E DIDATTICA UNIVERSITARIA DELLA MATEMATICA. Attivo. Gli obiettivi di questo progetto possono essere declinati nei punti seguenti, in continuità con la pluriennale attività di ricerca condotta dal responsabile di progetto ma fortemente attualizzati in considerazione dell'avanzare delle moderne tecnologie di Intelligenza Artificiale Generativa (IA Gen) con particolare riferimento alle esigenze didattiche peculiari dei CdS del DIEM.

Localized display only

The official funded-project listing describes an active project on generative AI and university mathematics teaching, framed around the teaching needs of DIEM degree programs.

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

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.

Last checkedMay 20, 2026Last changedMay 20, 2026Open change log

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.

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