Policy presence
Ca' Foscari University of Venice has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Venice, Italy
Ca' Foscari University of Venice has 3 source-backed public claims for policy presence; deterministic analysis status: unclear.
Ca' Foscari University of Venice has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Ca' Foscari University of Venice has 1 source-backed public claim for coursework; deterministic analysis status: recommended.
Ca' Foscari University of Venice has 1 source-backed public claim for exams; deterministic analysis status: recommended.
Ca' Foscari University of Venice has 1 source-backed public claim for privacy and data entry; deterministic analysis status: restricted.
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.
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.
Ca' Foscari University of Venice has 1 source-backed public claim for named ai services; deterministic analysis status: restricted.
Ca' Foscari University of Venice has 2 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Ca' Foscari University of Venice has 2 source-backed public claims for research guidance; deterministic analysis status: recommended.
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.
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
4 reviewed evidence-backed public claim
Source Status
Normalized value: official_ai_guidance_hub_with_linked_guidelines
Original evidence
Evidence 1The 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
Normalized value: teaching_learning_guidance_for_faculty_students
Original evidence
Evidence 1These 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
Normalized value: admin_ai_guidance_no_personal_or_confidential_data_inputs
Original evidence
Evidence 1The 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
Normalized value: research_ai_responsible_use_transparency_citation
Original evidence
Evidence 1Researchers 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.
0 machine or needs-review claim
4 source attribution
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