Venice, Italy

Ca' Foscari University of Venice

Record status

Policy statusReviewed evidence-backed recordReview: Agent reviewedClaim coverage4 reviewedEvidence-backed claims4Reviewed4Candidate0Official sources4Source languageenPublic JSON/api/public/v1/universities/ca-foscari-university-of-venice.json

Policy profile

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

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

AI tools

Derived tool records0

No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.

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

Official sources

4 source attribution

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

unive.it

Snapshot hash
64c95663e7b5d747a2dd65918846ff2f6900ba9bf160f01b69a3710ffeb6707e

Change log

Last checkedMay 18, 2026Last changedMay 18, 2026Open change log

Corrections

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