Venice, Italy

Ca' Foscari University of Venice

Ca' Foscari University of Venice has 4 source-backed AI policy claims from 4 official source attributions. Review state: agent reviewed; 4 reviewed claims. Last checked May 18, 2026.

Ca' Foscari University of Venice AI policy short answer

v1 public contract

Ca' Foscari University of Venice has 4 source-backed AI policy claims from 4 official source attributions, including 4 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 18, 2026. Discovery context: Ca' Foscari University of Venice is listed as QS 2026 rank =660.

Citation-ready summary

As of this public record, University AI Policy Tracker lists Ca' Foscari University of Venice as an agent-reviewed AI policy record last checked on May 18, 2026 and last changed on May 18, 2026. The record contains 4 source-backed claims, including 4 reviewed claims, from 4 official source attributions. Original-language evidence snippets and source URLs remain canonical, with public JSON available at https://eduaipolicy.org/api/public/v1/universities/ca-foscari-university-of-venice.json. The entity-level confidence is 96%. 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 coverage4 reviewedSource languageenPublic JSON/api/public/v1/universities/ca-foscari-university-of-venice.json

Policy signals in this record

  • Evidence includes Source status claims.
  • Evidence includes Teaching claims.
  • Evidence includes Privacy claims.
  • Evidence includes Research claims.
  • No specific AI service name is highlighted by the current public claim text.
  • Privacy, sensitive-data, or security language appears in the public claim text.
Policy statusReviewed evidence-backed recordReview: Agent reviewedEvidence-backed claims4Reviewed4Candidate0Official sources4

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 score75/100Coverage labelbroad public coverageReview: Machine candidateAnalysis confidence80%

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

Ca' Foscari University of Venice has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence79%Evidence1Sources1

Coursework

Ca' Foscari University of Venice has 1 source-backed public claim for coursework; deterministic analysis status: recommended.

RecommendedMachine candidateConfidence80%Evidence1Sources1

Privacy and data entry

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

RestrictedMachine candidateConfidence80%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

Ca' Foscari University of Venice has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.

RestrictedMachine candidateConfidence80%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

4 reviewed evidence-backed public claim

Source Status

Ca' Foscari University of Venice maintains an official AI guidance hub linking guidelines for research, teaching and learning, and administrative services.

Review: Agent reviewedConfidence96%

Normalized value: official_ai_guidance_hub_with_linked_guidelines

Original evidence

Evidence 1
The Rector's Delegates for Digital innovation in teaching and research, supported by the staff of the Computer Services and Telecommunications Area (ASIT), have prepared the following guidelines: Guidelines for the Responsible Use of Artificial Intelligence in Research; Guidelines for the Responsible Use of Generative AI in Teaching and Learning.

Localized display only

The official AI hub links Ca' Foscari's research and teaching/learning AI guideline PDFs and separately lists administrative-services AI guidance.

Teaching

Ca' Foscari's teaching and learning AI guidelines address faculty and students and frame generative AI as a responsible, constructive aid rather than a replacement for intellectual work.

Review: Agent reviewedConfidence94%

Normalized value: teaching_learning_guidance_for_faculty_students

Original evidence

Evidence 1
These guidelines regarding the potential use of AI tools in teaching and learning are intended for faculty and students. They apply to all forms of AI, regardless of the type of input and output, with a particular focus on commercial applications.

Localized display only

The teaching and learning guidance is explicitly addressed to faculty and students and applies broadly to AI tools, with focus on commercial applications.

Privacy

Ca' Foscari's administrative AI guidelines tell technical administrative staff not to input personal data, contract data, or protected copyright or confidentiality-restricted data into AI tools unless the relevant permission exists.

Review: Agent reviewedConfidence94%

Normalized value: admin_ai_guidance_no_personal_or_confidential_data_inputs

Original evidence

Evidence 1
The staff should therefore not input the following data into AI tools: Personal data that could directly or indirectly identify individuals. Data that is important for future research use and might be protected by intellectual property law. Data subject to contracts with third parties, such as companies. Data protected by copyright or confidentiality restrictions, unless permission is obtained from the owner.

Localized display only

Administrative staff guidance says not to enter personal, contract, protected intellectual-property, or confidentiality-restricted data into AI tools unless permission applies.

Research

Ca' Foscari's research AI guidelines support responsible use of AI in research and advise researchers to be transparent about AI tool use, including tools, versions, and prompts where relevant.

Review: Agent reviewedConfidence93%

Normalized value: research_ai_responsible_use_transparency_citation

Original evidence

Evidence 1
Researchers should ensure maximum transparency regarding their use of AI tools in scientific activities. This means that the way AI tools are used should be described in detail in ad hoc sections of the article (e.g., 'Materials and methods' and/or 'Further information'), specifying the prompts (where relevant), which tools were used and which version.

Localized display only

The research guidance advises transparent disclosure of AI tool use, including prompts where relevant, tools used, and versions.

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

4 source attribution

Artificial intelligence (AI): Ca' Foscari University of Venice

unive.it

Snapshot hash
64c95663e7b5d747a2dd65918846ff2f6900ba9bf160f01b69a3710ffeb6707e

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 18, 2026Last changedMay 18, 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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